id	sid	tid	token	lemma	pos
cana-3962	1	1	communications	communication	NOUN
cana-3962	1	2	on	on	ADP
cana-3962	1	3	applied	apply	VERB
cana-3962	1	4	nonlinear	nonlinear	ADJ
cana-3962	1	5	analysis	analysis	NOUN
cana-3962	1	6	issn	issn	NOUN
cana-3962	1	7	:	:	PUNCT
cana-3962	1	8	1074	1074	NUM
cana-3962	1	9	-	-	PUNCT
cana-3962	1	10	133x	133x	NUM
cana-3962	1	11	vol	vol	NOUN
cana-3962	1	12	32	32	NUM
cana-3962	1	13	no	no	NOUN
cana-3962	1	14	.	.	PUNCT
cana-3962	2	1	9s	9s	NUM
cana-3962	2	2	(	(	PUNCT
cana-3962	2	3	2025	2025	NUM
cana-3962	2	4	)	)	PUNCT
cana-3962	2	5	527	527	NUM
cana-3962	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3962	2	7	feature	feature	NOUN
cana-3962	2	8	fusion	fusion	NOUN
cana-3962	2	9	of	of	ADP
cana-3962	2	10	ensemble	ensemble	ADJ
cana-3962	2	11	deep	deep	ADJ
cana-3962	2	12	learning	learning	NOUN
cana-3962	2	13	models	model	NOUN
cana-3962	2	14	for	for	ADP
cana-3962	2	15	classification	classification	NOUN
cana-3962	2	16	of	of	ADP
cana-3962	2	17	monkeypox	monkeypox	NOUN
cana-3962	2	18	disease	disease	NOUN
cana-3962	2	19	nidhi	nidhi	PROPN
cana-3962	2	20	chauhan1	chauhan1	PROPN
cana-3962	2	21	,	,	PUNCT
cana-3962	2	22	dr	dr	PROPN
cana-3962	2	23	.	.	PROPN
cana-3962	2	24	sunita	sunita	PROPN
cana-3962	2	25	yadav2	yadav2	PROPN
cana-3962	2	26	,	,	PUNCT
cana-3962	2	27	dr	dr	PROPN
cana-3962	2	28	.	.	PROPN
cana-3962	2	29	alok	alok	PROPN
cana-3962	2	30	singh	singh	PROPN
cana-3962	2	31	chauhan3	chauhan3	PROPN
cana-3962	2	32	1	1	NUM
cana-3962	2	33	.	.	PUNCT
cana-3962	3	1	department	department	NOUN
cana-3962	3	2	of	of	ADP
cana-3962	3	3	computer	computer	NOUN
cana-3962	3	4	science	science	NOUN
cana-3962	3	5	and	and	CCONJ
cana-3962	3	6	engineering	engineering	NOUN
cana-3962	3	7	,	,	PUNCT
cana-3962	3	8	galgotias	galgotias	PROPN
cana-3962	3	9	university	university	PROPN
cana-3962	3	10	,	,	PUNCT
cana-3962	3	11	gautam	gautam	PROPN
cana-3962	3	12	buddha	buddha	PROPN
cana-3962	3	13	nagar	nagar	PROPN
cana-3962	3	14	,	,	PUNCT
cana-3962	3	15	uttar	uttar	PROPN
cana-3962	3	16	pradesh	pradesh	PROPN
cana-3962	3	17	2	2	NUM
cana-3962	3	18	.	.	PUNCT
cana-3962	3	19	department	department	NOUN
cana-3962	3	20	of	of	ADP
cana-3962	3	21	computer	computer	NOUN
cana-3962	3	22	science	science	NOUN
cana-3962	3	23	and	and	CCONJ
cana-3962	3	24	engineering	engineering	NOUN
cana-3962	3	25	,	,	PUNCT
cana-3962	3	26	galgotias	galgotias	PROPN
cana-3962	3	27	university	university	PROPN
cana-3962	3	28	,	,	PUNCT
cana-3962	3	29	gautam	gautam	PROPN
cana-3962	3	30	buddha	buddha	PROPN
cana-3962	3	31	nagar	nagar	PROPN
cana-3962	3	32	,	,	PUNCT
cana-3962	3	33	uttar	uttar	PROPN
cana-3962	3	34	pradesh	pradesh	PROPN
cana-3962	3	35	3	3	NUM
cana-3962	3	36	.	.	PUNCT
cana-3962	3	37	department	department	NOUN
cana-3962	3	38	of	of	ADP
cana-3962	3	39	computer	computer	NOUN
cana-3962	3	40	science	science	NOUN
cana-3962	3	41	and	and	CCONJ
cana-3962	3	42	engineering	engineering	NOUN
cana-3962	3	43	,	,	PUNCT
cana-3962	3	44	galgotias	galgotias	PROPN
cana-3962	3	45	university	university	PROPN
cana-3962	3	46	,	,	PUNCT
cana-3962	3	47	gautam	gautam	PROPN
cana-3962	3	48	buddha	buddha	PROPN
cana-3962	3	49	nagar	nagar	PROPN
cana-3962	3	50	,	,	PUNCT
cana-3962	3	51	uttar	uttar	PROPN
cana-3962	3	52	pradesh	pradesh	PROPN
cana-3962	3	53	article	article	PROPN
cana-3962	3	54	history	history	NOUN
cana-3962	3	55	:	:	PUNCT
cana-3962	3	56	received	receive	VERB
cana-3962	3	57	:	:	PUNCT
cana-3962	3	58	19	19	NUM
cana-3962	3	59	-	-	SYM
cana-3962	3	60	11	11	NUM
cana-3962	3	61	-	-	PUNCT
cana-3962	3	62	2024	2024	NUM
cana-3962	3	63	revised	revise	VERB
cana-3962	3	64	:	:	PUNCT
cana-3962	3	65	07	07	NUM
cana-3962	3	66	-	-	SYM
cana-3962	3	67	12	12	NUM
cana-3962	3	68	-	-	PUNCT
cana-3962	3	69	2024	2024	NUM
cana-3962	3	70	accepted	accept	VERB
cana-3962	3	71	:	:	PUNCT
cana-3962	3	72	14	14	NUM
cana-3962	3	73	-	-	SYM
cana-3962	3	74	01	01	NUM
cana-3962	3	75	-	-	PUNCT
cana-3962	3	76	2025	2025	NUM
cana-3962	3	77	abstract	abstract	NOUN
cana-3962	3	78	:	:	PUNCT
cana-3962	3	79	outbreaks	outbreak	NOUN
cana-3962	3	80	of	of	ADP
cana-3962	3	81	human	human	ADJ
cana-3962	3	82	monkeypox	monkeypox	NOUN
cana-3962	3	83	have	have	AUX
cana-3962	3	84	been	be	AUX
cana-3962	3	85	reported	report	VERB
cana-3962	3	86	in	in	ADP
cana-3962	3	87	many	many	ADJ
cana-3962	3	88	nations	nation	NOUN
cana-3962	3	89	recently	recently	ADV
cana-3962	3	90	,	,	PUNCT
cana-3962	3	91	including	include	VERB
cana-3962	3	92	india	india	PROPN
cana-3962	3	93	.	.	PUNCT
cana-3962	4	1	studies	study	NOUN
cana-3962	4	2	and	and	CCONJ
cana-3962	4	3	reports	report	NOUN
cana-3962	4	4	indicate	indicate	VERB
cana-3962	4	5	that	that	SCONJ
cana-3962	4	6	to	to	PART
cana-3962	4	7	reduce	reduce	VERB
cana-3962	4	8	the	the	DET
cana-3962	4	9	spread	spread	NOUN
cana-3962	4	10	of	of	ADP
cana-3962	4	11	the	the	DET
cana-3962	4	12	infection	infection	NOUN
cana-3962	4	13	,	,	PUNCT
cana-3962	4	14	it	it	PRON
cana-3962	4	15	is	be	AUX
cana-3962	4	16	crucial	crucial	ADJ
cana-3962	4	17	to	to	PART
cana-3962	4	18	identify	identify	VERB
cana-3962	4	19	and	and	CCONJ
cana-3962	4	20	isolate	isolate	VERB
cana-3962	4	21	affected	affect	VERB
cana-3962	4	22	individuals	individual	NOUN
cana-3962	4	23	as	as	ADV
cana-3962	4	24	soon	soon	ADV
cana-3962	4	25	as	as	ADP
cana-3962	4	26	possible	possible	ADJ
cana-3962	4	27	.	.	PUNCT
cana-3962	5	1	the	the	DET
cana-3962	5	2	purpose	purpose	NOUN
cana-3962	5	3	of	of	ADP
cana-3962	5	4	this	this	DET
cana-3962	5	5	work	work	NOUN
cana-3962	5	6	is	be	AUX
cana-3962	5	7	to	to	PART
cana-3962	5	8	use	use	VERB
cana-3962	5	9	integration	integration	NOUN
cana-3962	5	10	of	of	ADP
cana-3962	5	11	pre	pre	ADJ
cana-3962	5	12	-	-	ADJ
cana-3962	5	13	trained	train	VERB
cana-3962	5	14	deep	deep	ADJ
cana-3962	5	15	learning	learning	NOUN
cana-3962	5	16	models	model	NOUN
cana-3962	5	17	for	for	ADP
cana-3962	5	18	extracting	extract	VERB
cana-3962	5	19	the	the	DET
cana-3962	5	20	features	feature	NOUN
cana-3962	5	21	from	from	ADP
cana-3962	5	22	monkeypox	monkeypox	NOUN
cana-3962	5	23	image	image	NOUN
cana-3962	5	24	dataset	dataset	NOUN
cana-3962	5	25	and	and	CCONJ
cana-3962	5	26	then	then	ADV
cana-3962	5	27	combine	combine	VERB
cana-3962	5	28	them	they	PRON
cana-3962	5	29	for	for	ADP
cana-3962	5	30	detecting	detect	VERB
cana-3962	5	31	and	and	CCONJ
cana-3962	5	32	diagnosing	diagnose	VERB
cana-3962	5	33	monkeypox	monkeypox	NOUN
cana-3962	5	34	disease	disease	NOUN
cana-3962	5	35	.	.	PUNCT
cana-3962	6	1	combining	combine	VERB
cana-3962	6	2	features	feature	NOUN
cana-3962	6	3	provides	provide	VERB
cana-3962	6	4	a	a	DET
cana-3962	6	5	rich	rich	ADJ
cana-3962	6	6	and	and	CCONJ
cana-3962	6	7	comprehensive	comprehensive	ADJ
cana-3962	6	8	representation	representation	NOUN
cana-3962	6	9	of	of	ADP
cana-3962	6	10	the	the	DET
cana-3962	6	11	input	input	NOUN
cana-3962	6	12	data	datum	NOUN
cana-3962	6	13	,	,	PUNCT
cana-3962	6	14	enabling	enable	VERB
cana-3962	6	15	the	the	DET
cana-3962	6	16	classifier	classifier	NOUN
cana-3962	6	17	to	to	PART
cana-3962	6	18	make	make	VERB
cana-3962	6	19	more	more	ADJ
cana-3962	6	20	reliable	reliable	ADJ
cana-3962	6	21	predictions	prediction	NOUN
cana-3962	6	22	.	.	PUNCT
cana-3962	7	1	in	in	ADP
cana-3962	7	2	our	our	PRON
cana-3962	7	3	study	study	NOUN
cana-3962	7	4	we	we	PRON
cana-3962	7	5	used	use	VERB
cana-3962	7	6	5	5	NUM
cana-3962	7	7	feature	feature	NOUN
cana-3962	7	8	fusion	fusion	NOUN
cana-3962	7	9	techniques	technique	NOUN
cana-3962	7	10	to	to	PART
cana-3962	7	11	obtain	obtain	VERB
cana-3962	7	12	and	and	CCONJ
cana-3962	7	13	select	select	VERB
cana-3962	7	14	best	good	ADJ
cana-3962	7	15	feature	feature	NOUN
cana-3962	7	16	representations	representation	NOUN
cana-3962	7	17	.	.	PUNCT
cana-3962	8	1	each	each	DET
cana-3962	8	2	method	method	NOUN
cana-3962	8	3	offers	offer	VERB
cana-3962	8	4	different	different	ADJ
cana-3962	8	5	ways	way	NOUN
cana-3962	8	6	of	of	ADP
cana-3962	8	7	fusing	fuse	VERB
cana-3962	8	8	information	information	NOUN
cana-3962	8	9	.	.	PUNCT
cana-3962	9	1	two	two	NUM
cana-3962	9	2	publicly	publicly	ADV
cana-3962	9	3	available	available	ADJ
cana-3962	9	4	datasets	dataset	NOUN
cana-3962	9	5	are	be	AUX
cana-3962	9	6	utilised	utilise	VERB
cana-3962	9	7	:	:	PUNCT
cana-3962	9	8	monkeypox	monkeypox	VERB
cana-3962	9	9	skin	skin	NOUN
cana-3962	9	10	image	image	NOUN
cana-3962	9	11	dataset	dataset	NOUN
cana-3962	9	12	(	(	PUNCT
cana-3962	9	13	msid	msid	PROPN
cana-3962	9	14	)	)	PUNCT
cana-3962	9	15	,	,	PUNCT
cana-3962	9	16	monkeypox	monkeypox	VERB
cana-3962	9	17	skin	skin	NOUN
cana-3962	9	18	lesion	lesion	NOUN
cana-3962	9	19	detection	detection	NOUN
cana-3962	9	20	(	(	PUNCT
cana-3962	9	21	msld	msld	NOUN
cana-3962	9	22	)	)	PUNCT
cana-3962	9	23	.	.	PUNCT
cana-3962	10	1	fusing	fuse	VERB
cana-3962	10	2	features	feature	NOUN
cana-3962	10	3	from	from	ADP
cana-3962	10	4	models	model	NOUN
cana-3962	10	5	like	like	ADP
cana-3962	10	6	pre	pre	ADJ
cana-3962	10	7	-	-	ADJ
cana-3962	10	8	trained	train	VERB
cana-3962	10	9	models	model	NOUN
cana-3962	10	10	effectively	effectively	ADV
cana-3962	10	11	combines	combine	VERB
cana-3962	10	12	their	their	PRON
cana-3962	10	13	strengths	strength	NOUN
cana-3962	10	14	,	,	PUNCT
cana-3962	10	15	improving	improve	VERB
cana-3962	10	16	generalization	generalization	NOUN
cana-3962	10	17	,	,	PUNCT
cana-3962	10	18	accuracy	accuracy	NOUN
cana-3962	10	19	,	,	PUNCT
cana-3962	10	20	and	and	CCONJ
cana-3962	10	21	robustness	robustness	NOUN
cana-3962	10	22	in	in	ADP
cana-3962	10	23	monkeypox	monkeypox	NOUN
cana-3962	10	24	detection	detection	NOUN
cana-3962	10	25	.	.	PUNCT
cana-3962	11	1	the	the	DET
cana-3962	11	2	model	model	NOUN
cana-3962	11	3	's	's	PART
cana-3962	11	4	performance	performance	NOUN
cana-3962	11	5	was	be	AUX
cana-3962	11	6	evaluated	evaluate	VERB
cana-3962	11	7	using	use	VERB
cana-3962	11	8	six	six	NUM
cana-3962	11	9	metrics	metric	NOUN
cana-3962	11	10	:	:	PUNCT
cana-3962	11	11	accuracy	accuracy	NOUN
cana-3962	11	12	,	,	PUNCT
cana-3962	11	13	recall	recall	NOUN
cana-3962	11	14	,	,	PUNCT
cana-3962	11	15	precision	precision	NOUN
cana-3962	11	16	,	,	PUNCT
cana-3962	11	17	f1	f1	NOUN
cana-3962	11	18	-	-	PUNCT
cana-3962	11	19	score	score	NOUN
cana-3962	11	20	,	,	PUNCT
cana-3962	11	21	roc	roc	PROPN
cana-3962	11	22	,	,	PUNCT
cana-3962	11	23	and	and	CCONJ
cana-3962	11	24	auc	auc	NOUN
cana-3962	11	25	.	.	PUNCT
cana-3962	12	1	our	our	PRON
cana-3962	12	2	experimental	experimental	ADJ
cana-3962	12	3	results	result	NOUN
cana-3962	12	4	demonstrate	demonstrate	VERB
cana-3962	12	5	that	that	SCONJ
cana-3962	12	6	the	the	DET
cana-3962	12	7	combined	combined	ADJ
cana-3962	12	8	features	feature	NOUN
cana-3962	12	9	from	from	ADP
cana-3962	12	10	pretrained	pretraine	VERB
cana-3962	12	11	densenet121	densenet121	PROPN
cana-3962	12	12	and	and	CCONJ
cana-3962	12	13	mobilenetv2	mobilenetv2	PROPN
cana-3962	12	14	models	model	NOUN
cana-3962	12	15	using	use	VERB
cana-3962	12	16	multiplicative	multiplicative	ADJ
cana-3962	12	17	fusion	fusion	NOUN
cana-3962	12	18	method	method	NOUN
cana-3962	12	19	have	have	VERB
cana-3962	12	20	the	the	DET
cana-3962	12	21	best	good	ADJ
cana-3962	12	22	classification	classification	NOUN
cana-3962	12	23	accuracy	accuracy	NOUN
cana-3962	12	24	of	of	ADP
cana-3962	12	25	95.56	95.56	NUM
cana-3962	12	26	%	%	NOUN
cana-3962	12	27	on	on	ADP
cana-3962	12	28	msld	msld	NOUN
cana-3962	12	29	and	and	CCONJ
cana-3962	12	30	91.67	91.67	NUM
cana-3962	12	31	%	%	NOUN
cana-3962	12	32	on	on	ADP
cana-3962	12	33	msid	msid	NUM
cana-3962	12	34	.	.	PUNCT
cana-3962	13	1	keywords	keyword	NOUN
cana-3962	13	2	:	:	PUNCT
cana-3962	13	3	monkeypox	monkeypox	NOUN
cana-3962	13	4	disease	disease	NOUN
cana-3962	13	5	,	,	PUNCT
cana-3962	13	6	deep	deep	ADJ
cana-3962	13	7	learning	learning	NOUN
cana-3962	13	8	methods	method	NOUN
cana-3962	13	9	,	,	PUNCT
cana-3962	13	10	integrated	integrated	ADJ
cana-3962	13	11	model	model	NOUN
cana-3962	13	12	,	,	PUNCT
cana-3962	13	13	mobilenetv2	mobilenetv2	PROPN
cana-3962	13	14	,	,	PUNCT
cana-3962	13	15	densenet121	densenet121	PROPN
cana-3962	13	16	,	,	PUNCT
cana-3962	13	17	fused	fuse	VERB
cana-3962	13	18	features	feature	NOUN
cana-3962	13	19	.	.	PUNCT
cana-3962	14	1	1	1	X
cana-3962	14	2	.	.	X
cana-3962	14	3	introduction	introduction	NOUN
cana-3962	14	4	monkeypox	monkeypox	NOUN
cana-3962	14	5	has	have	AUX
cana-3962	14	6	recently	recently	ADV
cana-3962	14	7	affected	affect	VERB
cana-3962	14	8	over	over	ADP
cana-3962	14	9	16,000	16,000	NUM
cana-3962	14	10	individuals	individual	NOUN
cana-3962	14	11	across	across	ADP
cana-3962	14	12	75	75	NUM
cana-3962	14	13	countries	country	NOUN
cana-3962	14	14	,	,	PUNCT
cana-3962	14	15	raising	raise	VERB
cana-3962	14	16	significant	significant	ADJ
cana-3962	14	17	global	global	ADJ
cana-3962	14	18	health	health	NOUN
cana-3962	14	19	concerns	concern	NOUN
cana-3962	14	20	.	.	PUNCT
cana-3962	15	1	similar	similar	ADJ
cana-3962	15	2	to	to	ADP
cana-3962	15	3	several	several	ADJ
cana-3962	15	4	disease	disease	NOUN
cana-3962	15	5	,	,	PUNCT
cana-3962	15	6	like	like	ADP
cana-3962	15	7	covid-19	covid-19	PROPN
cana-3962	15	8	,	,	PUNCT
cana-3962	15	9	which	which	PRON
cana-3962	15	10	infected	infect	VERB
cana-3962	15	11	23	23	NUM
cana-3962	15	12	distinct	distinct	ADJ
cana-3962	15	13	animal	animal	NOUN
cana-3962	15	14	species	specie	NOUN
cana-3962	15	15	,	,	PUNCT
cana-3962	15	16	monkeypox	monkeypox	NOUN
cana-3962	15	17	has	have	VERB
cana-3962	15	18	the	the	DET
cana-3962	15	19	potential	potential	NOUN
cana-3962	15	20	to	to	PART
cana-3962	15	21	spread	spread	VERB
cana-3962	15	22	from	from	ADP
cana-3962	15	23	domestic	domestic	ADJ
cana-3962	15	24	to	to	ADP
cana-3962	15	25	wild	wild	ADJ
cana-3962	15	26	animals	animal	NOUN
cana-3962	15	27	,	,	PUNCT
cana-3962	15	28	endangering	endanger	VERB
cana-3962	15	29	the	the	DET
cana-3962	15	30	health	health	NOUN
cana-3962	15	31	of	of	ADP
cana-3962	15	32	all	all	PRON
cana-3962	15	33	.	.	PUNCT
cana-3962	16	1	although	although	SCONJ
cana-3962	16	2	human	human	NOUN
cana-3962	16	3	-	-	PUNCT
cana-3962	16	4	to	to	ADP
cana-3962	16	5	-	-	PUNCT
cana-3962	16	6	human	human	ADJ
cana-3962	16	7	contact	contact	NOUN
cana-3962	16	8	is	be	AUX
cana-3962	16	9	the	the	DET
cana-3962	16	10	primary	primary	ADJ
cana-3962	16	11	cause	cause	NOUN
cana-3962	16	12	of	of	ADP
cana-3962	16	13	the	the	DET
cana-3962	16	14	current	current	ADJ
cana-3962	16	15	monkeypox	monkeypox	NOUN
cana-3962	16	16	outbreak	outbreak	NOUN
cana-3962	16	17	,	,	PUNCT
cana-3962	16	18	the	the	DET
cana-3962	16	19	disease	disease	NOUN
cana-3962	16	20	is	be	AUX
cana-3962	16	21	known	know	VERB
cana-3962	16	22	to	to	PART
cana-3962	16	23	have	have	VERB
cana-3962	16	24	an	an	DET
cana-3962	16	25	animal	animal	NOUN
cana-3962	16	26	origin	origin	NOUN
cana-3962	16	27	and	and	CCONJ
cana-3962	16	28	can	can	AUX
cana-3962	16	29	thus	thus	ADV
cana-3962	16	30	be	be	AUX
cana-3962	16	31	transmitted	transmit	VERB
cana-3962	16	32	to	to	ADP
cana-3962	16	33	specific	specific	ADJ
cana-3962	16	34	animals	animal	NOUN
cana-3962	16	35	.	.	PUNCT
cana-3962	17	1	various	various	ADJ
cana-3962	17	2	wild	wild	ADJ
cana-3962	17	3	mammals	mammal	NOUN
cana-3962	17	4	,	,	PUNCT
cana-3962	17	5	including	include	VERB
cana-3962	17	6	dormice	dormice	NOUN
cana-3962	17	7	,	,	PUNCT
cana-3962	17	8	rope	rope	NOUN
cana-3962	17	9	squirrels	squirrel	NOUN
cana-3962	17	10	,	,	PUNCT
cana-3962	17	11	tree	tree	NOUN
cana-3962	17	12	squirrels	squirrel	NOUN
cana-3962	17	13	,	,	PUNCT
cana-3962	17	14	gambian	gambian	ADJ
cana-3962	17	15	pouched	pouch	VERB
cana-3962	17	16	rats	rat	NOUN
cana-3962	17	17	,	,	PUNCT
cana-3962	17	18	and	and	CCONJ
cana-3962	17	19	nonhuman	nonhuman	ADJ
cana-3962	17	20	primates	primate	NOUN
cana-3962	17	21	,	,	PUNCT
cana-3962	17	22	have	have	AUX
cana-3962	17	23	been	be	AUX
cana-3962	17	24	found	find	VERB
cana-3962	17	25	to	to	PART
cana-3962	17	26	be	be	AUX
cana-3962	17	27	vulnerable	vulnerable	ADJ
cana-3962	17	28	to	to	ADP
cana-3962	17	29	the	the	DET
cana-3962	17	30	monkeypox	monkeypox	PROPN
cana-3962	17	31	virus	virus	NOUN
cana-3962	18	1	[	[	X
cana-3962	18	2	[	[	X
cana-3962	18	3	23	23	NUM
cana-3962	18	4	]	]	X
cana-3962	18	5	]	]	PUNCT
cana-3962	18	6	.	.	PUNCT
cana-3962	19	1	identifying	identify	VERB
cana-3962	19	2	spillover	spillover	NOUN
cana-3962	19	3	events	event	NOUN
cana-3962	19	4	is	be	AUX
cana-3962	19	5	made	make	VERB
cana-3962	19	6	more	more	ADV
cana-3962	19	7	difficult	difficult	ADJ
cana-3962	19	8	by	by	ADP
cana-3962	19	9	the	the	DET
cana-3962	19	10	fact	fact	NOUN
cana-3962	19	11	that	that	SCONJ
cana-3962	19	12	while	while	SCONJ
cana-3962	19	13	some	some	PRON
cana-3962	19	14	of	of	ADP
cana-3962	19	15	these	these	DET
cana-3962	19	16	species	specie	NOUN
cana-3962	19	17	display	display	NOUN
cana-3962	19	18	disease	disease	NOUN
cana-3962	19	19	signs	sign	NOUN
cana-3962	19	20	and	and	CCONJ
cana-3962	19	21	symptoms	symptom	NOUN
cana-3962	19	22	,	,	PUNCT
cana-3962	19	23	others	other	NOUN
cana-3962	19	24	may	may	AUX
cana-3962	19	25	not	not	PART
cana-3962	19	26	display	display	VERB
cana-3962	19	27	any	any	DET
cana-3962	19	28	external	external	ADJ
cana-3962	19	29	or	or	CCONJ
cana-3962	19	30	apparent	apparent	ADJ
cana-3962	19	31	indications	indication	NOUN
cana-3962	19	32	.	.	PUNCT
cana-3962	20	1	also	also	ADV
cana-3962	20	2	,	,	PUNCT
cana-3962	20	3	the	the	DET
cana-3962	20	4	skin	skin	NOUN
cana-3962	20	5	lesions	lesion	NOUN
cana-3962	20	6	of	of	ADP
cana-3962	20	7	the	the	DET
cana-3962	20	8	disease	disease	NOUN
cana-3962	20	9	are	be	AUX
cana-3962	20	10	very	very	ADV
cana-3962	20	11	similar	similar	ADJ
cana-3962	20	12	to	to	ADP
cana-3962	20	13	rashes	rash	NOUN
cana-3962	20	14	of	of	ADP
cana-3962	20	15	smallpox	smallpox	NOUN
cana-3962	20	16	,	,	PUNCT
cana-3962	20	17	measles	measle	NOUN
cana-3962	20	18	and	and	CCONJ
cana-3962	20	19	chickenpox	chickenpox	NOUN
cana-3962	20	20	.	.	PUNCT
cana-3962	21	1	as	as	SCONJ
cana-3962	21	2	the	the	DET
cana-3962	21	3	number	number	NOUN
cana-3962	21	4	of	of	ADP
cana-3962	21	5	cases	case	NOUN
cana-3962	21	6	of	of	ADP
cana-3962	21	7	monkeypox	monkeypox	NOUN
cana-3962	21	8	increased	increase	VERB
cana-3962	21	9	,	,	PUNCT
cana-3962	21	10	numerous	numerous	ADJ
cana-3962	21	11	initiatives	initiative	NOUN
cana-3962	21	12	,	,	PUNCT
cana-3962	21	13	plans	plan	NOUN
cana-3962	21	14	,	,	PUNCT
cana-3962	21	15	and	and	CCONJ
cana-3962	21	16	countermeasures	countermeasure	NOUN
cana-3962	21	17	were	be	AUX
cana-3962	21	18	put	put	VERB
cana-3962	21	19	in	in	ADP
cana-3962	21	20	place	place	NOUN
cana-3962	21	21	by	by	ADP
cana-3962	21	22	nations	nation	NOUN
cana-3962	21	23	worldwide	worldwide	ADV
cana-3962	21	24	to	to	PART
cana-3962	21	25	slow	slow	VERB
cana-3962	21	26	the	the	DET
cana-3962	21	27	virus	virus	NOUN
cana-3962	21	28	's	's	PART
cana-3962	21	29	spread	spread	NOUN
cana-3962	21	30	.	.	PUNCT
cana-3962	22	1	the	the	DET
cana-3962	22	2	united	united	PROPN
cana-3962	22	3	states	states	PROPN
cana-3962	22	4	procured	procure	VERB
cana-3962	22	5	500,000	500,000	NUM
cana-3962	22	6	doses	dose	NOUN
cana-3962	22	7	of	of	ADP
cana-3962	22	8	the	the	DET
cana-3962	22	9	smallpox	smallpox	NOUN
cana-3962	22	10	vaccine	vaccine	NOUN
cana-3962	22	11	,	,	PUNCT
cana-3962	22	12	canada	canada	PROPN
cana-3962	22	13	offered	offer	VERB
cana-3962	22	14	vaccinations	vaccination	NOUN
cana-3962	22	15	to	to	ADP
cana-3962	22	16	high	high	ADJ
cana-3962	22	17	-	-	PUNCT
cana-3962	22	18	risk	risk	NOUN
cana-3962	22	19	groups	group	NOUN
cana-3962	22	20	,	,	PUNCT
cana-3962	22	21	french	french	ADJ
cana-3962	22	22	and	and	CCONJ
cana-3962	22	23	danish	danish	ADJ
cana-3962	22	24	health	health	NOUN
cana-3962	22	25	authorities	authority	NOUN
cana-3962	22	26	communications	communication	NOUN
cana-3962	22	27	on	on	ADP
cana-3962	22	28	applied	apply	VERB
cana-3962	22	29	nonlinear	nonlinear	ADJ
cana-3962	22	30	analysis	analysis	NOUN
cana-3962	22	31	issn	issn	NOUN
cana-3962	22	32	:	:	PUNCT
cana-3962	22	33	1074	1074	NUM
cana-3962	22	34	-	-	PUNCT
cana-3962	22	35	133x	133x	NUM
cana-3962	22	36	vol	vol	NOUN
cana-3962	22	37	32	32	NUM
cana-3962	22	38	no	no	NOUN
cana-3962	22	39	.	.	PUNCT
cana-3962	23	1	9s	9s	NUM
cana-3962	23	2	(	(	PUNCT
cana-3962	23	3	2025	2025	NUM
cana-3962	23	4	)	)	PUNCT
cana-3962	23	5	528	528	NUM
cana-3962	24	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-3962	24	2	advocated	advocate	VERB
cana-3962	24	3	for	for	ADP
cana-3962	24	4	the	the	DET
cana-3962	24	5	distribution	distribution	NOUN
cana-3962	24	6	of	of	ADP
cana-3962	24	7	vaccines	vaccine	NOUN
cana-3962	24	8	to	to	ADP
cana-3962	24	9	adults	adult	NOUN
cana-3962	24	10	affected	affect	VERB
cana-3962	24	11	by	by	ADP
cana-3962	24	12	the	the	DET
cana-3962	24	13	virus	virus	NOUN
cana-3962	24	14	,	,	PUNCT
cana-3962	24	15	germany	germany	PROPN
cana-3962	24	16	recommended	recommend	VERB
cana-3962	24	17	vaccinations	vaccination	NOUN
cana-3962	24	18	for	for	ADP
cana-3962	24	19	high	high	ADJ
cana-3962	24	20	-	-	PUNCT
cana-3962	24	21	risk	risk	NOUN
cana-3962	24	22	populations	population	NOUN
cana-3962	24	23	,	,	PUNCT
cana-3962	24	24	and	and	CCONJ
cana-3962	24	25	the	the	DET
cana-3962	24	26	united	united	PROPN
cana-3962	24	27	kingdom	kingdom	PROPN
cana-3962	24	28	advised	advise	VERB
cana-3962	24	29	self	self	NOUN
cana-3962	24	30	-	-	PUNCT
cana-3962	24	31	isolation	isolation	NOUN
cana-3962	24	32	for	for	ADP
cana-3962	24	33	all	all	DET
cana-3962	24	34	virusinfected	virusinfecte	VERB
cana-3962	24	35	individuals	individual	NOUN
cana-3962	24	36	.	.	PUNCT
cana-3962	25	1	these	these	DET
cana-3962	25	2	efforts	effort	NOUN
cana-3962	25	3	included	include	VERB
cana-3962	25	4	the	the	DET
cana-3962	25	5	implementation	implementation	NOUN
cana-3962	25	6	of	of	ADP
cana-3962	25	7	lockdown	lockdown	NOUN
cana-3962	25	8	measures	measure	NOUN
cana-3962	25	9	in	in	ADP
cana-3962	25	10	belgium	belgium	NOUN
cana-3962	25	11	[	[	X
cana-3962	25	12	[	[	X
cana-3962	25	13	11]][[9	11]][[9	NOUN
cana-3962	25	14	]	]	X
cana-3962	25	15	]	]	PUNCT
cana-3962	25	16	.	.	PUNCT
cana-3962	26	1	while	while	SCONJ
cana-3962	26	2	writing	write	VERB
cana-3962	26	3	this	this	DET
cana-3962	26	4	research	research	NOUN
cana-3962	26	5	paper	paper	NOUN
cana-3962	26	6	,	,	PUNCT
cana-3962	26	7	2	2	NUM
cana-3962	26	8	cases	case	NOUN
cana-3962	26	9	in	in	ADP
cana-3962	26	10	kerala	kerala	PROPN
cana-3962	26	11	,	,	PUNCT
cana-3962	26	12	india	india	PROPN
cana-3962	26	13	,	,	PUNCT
cana-3962	26	14	were	be	AUX
cana-3962	26	15	reported	report	VERB
cana-3962	26	16	.	.	PUNCT
cana-3962	27	1	as	as	SCONJ
cana-3962	27	2	its	its	PRON
cana-3962	27	3	spread	spread	NOUN
cana-3962	27	4	is	be	AUX
cana-3962	27	5	nationwide	nationwide	ADJ
cana-3962	27	6	,	,	PUNCT
cana-3962	27	7	it	it	PRON
cana-3962	27	8	is	be	AUX
cana-3962	27	9	necessary	necessary	ADJ
cana-3962	27	10	to	to	PART
cana-3962	27	11	detect	detect	VERB
cana-3962	27	12	this	this	DET
cana-3962	27	13	disease	disease	NOUN
cana-3962	27	14	on	on	ADP
cana-3962	27	15	early	early	ADJ
cana-3962	27	16	stages	stage	NOUN
cana-3962	27	17	.	.	PUNCT
cana-3962	28	1	deep	deep	ADJ
cana-3962	28	2	learning	learning	NOUN
cana-3962	28	3	(	(	PUNCT
cana-3962	28	4	dl	dl	INTJ
cana-3962	28	5	)	)	PUNCT
cana-3962	28	6	plays	play	VERB
cana-3962	28	7	a	a	DET
cana-3962	28	8	pivotal	pivotal	ADJ
cana-3962	28	9	role	role	NOUN
cana-3962	28	10	in	in	ADP
cana-3962	28	11	health	health	NOUN
cana-3962	28	12	informatics	informatic	NOUN
cana-3962	28	13	,	,	PUNCT
cana-3962	28	14	excelling	excel	VERB
cana-3962	28	15	in	in	ADP
cana-3962	28	16	feature	feature	NOUN
cana-3962	28	17	extraction	extraction	NOUN
cana-3962	28	18	and	and	CCONJ
cana-3962	28	19	data	data	NOUN
cana-3962	28	20	classification	classification	NOUN
cana-3962	28	21	[	[	X
cana-3962	28	22	2	2	NUM
cana-3962	28	23	]	]	PUNCT
cana-3962	28	24	.	.	PUNCT
cana-3962	29	1	representation	representation	NOUN
cana-3962	29	2	learning	learning	PROPN
cana-3962	29	3	,	,	PUNCT
cana-3962	29	4	the	the	DET
cana-3962	29	5	foundation	foundation	NOUN
cana-3962	29	6	of	of	ADP
cana-3962	29	7	deep	deep	ADJ
cana-3962	29	8	learning	learning	NOUN
cana-3962	29	9	techniques	technique	NOUN
cana-3962	29	10	,	,	PUNCT
cana-3962	29	11	entails	entail	VERB
cana-3962	29	12	building	build	VERB
cana-3962	29	13	nonlinear	nonlinear	ADJ
cana-3962	29	14	modules	module	NOUN
cana-3962	29	15	layer	layer	NOUN
cana-3962	29	16	by	by	ADP
cana-3962	29	17	layer	layer	NOUN
cana-3962	29	18	to	to	PART
cana-3962	29	19	reach	reach	VERB
cana-3962	29	20	higher	high	ADJ
cana-3962	29	21	representation	representation	NOUN
cana-3962	29	22	levels	level	NOUN
cana-3962	29	23	.	.	PUNCT
cana-3962	30	1	the	the	DET
cana-3962	30	2	representation	representation	NOUN
cana-3962	30	3	is	be	AUX
cana-3962	30	4	changed	change	VERB
cana-3962	30	5	by	by	ADP
cana-3962	30	6	each	each	DET
cana-3962	30	7	layer	layer	NOUN
cana-3962	30	8	from	from	ADP
cana-3962	30	9	one	one	NUM
cana-3962	30	10	form	form	NOUN
cana-3962	30	11	to	to	ADP
cana-3962	30	12	another	another	PRON
cana-3962	30	13	,	,	PUNCT
cana-3962	30	14	eventually	eventually	ADV
cana-3962	30	15	producing	produce	VERB
cana-3962	30	16	a	a	DET
cana-3962	30	17	more	more	ADV
cana-3962	30	18	abstract	abstract	ADJ
cana-3962	30	19	representation	representation	NOUN
cana-3962	30	20	that	that	PRON
cana-3962	30	21	makes	make	VERB
cana-3962	30	22	it	it	PRON
cana-3962	30	23	easier	easy	ADJ
cana-3962	30	24	for	for	SCONJ
cana-3962	30	25	a	a	DET
cana-3962	30	26	feature	feature	NOUN
cana-3962	30	27	set	set	VERB
cana-3962	30	28	to	to	PART
cana-3962	30	29	be	be	AUX
cana-3962	30	30	generated	generate	VERB
cana-3962	30	31	automatically	automatically	ADV
cana-3962	30	32	[	[	X
cana-3962	30	33	[	[	X
cana-3962	30	34	3]][[4	3]][[4	NUM
cana-3962	30	35	]	]	X
cana-3962	30	36	]	]	PUNCT
cana-3962	30	37	.	.	PUNCT
cana-3962	31	1	automated	automate	VERB
cana-3962	31	2	feature	feature	NOUN
cana-3962	31	3	generation	generation	NOUN
cana-3962	31	4	without	without	ADP
cana-3962	31	5	human	human	ADJ
cana-3962	31	6	interaction	interaction	NOUN
cana-3962	31	7	offers	offer	VERB
cana-3962	31	8	substantial	substantial	ADJ
cana-3962	31	9	benefits	benefit	NOUN
cana-3962	31	10	in	in	ADP
cana-3962	31	11	health	health	NOUN
cana-3962	31	12	informatics	informatic	NOUN
cana-3962	31	13	.	.	PUNCT
cana-3962	32	1	despite	despite	SCONJ
cana-3962	32	2	their	their	PRON
cana-3962	32	3	encouraging	encouraging	ADJ
cana-3962	32	4	results	result	NOUN
cana-3962	32	5	,	,	PUNCT
cana-3962	32	6	a	a	DET
cana-3962	32	7	crucial	crucial	ADJ
cana-3962	32	8	issue	issue	NOUN
cana-3962	32	9	is	be	AUX
cana-3962	32	10	the	the	DET
cana-3962	32	11	lack	lack	NOUN
cana-3962	32	12	of	of	ADP
cana-3962	32	13	comprehension	comprehension	NOUN
cana-3962	32	14	and	and	CCONJ
cana-3962	32	15	interpretability	interpretability	NOUN
cana-3962	32	16	of	of	ADP
cana-3962	32	17	these	these	DET
cana-3962	32	18	models	model	NOUN
cana-3962	32	19	'	'	PART
cana-3962	32	20	decision	decision	NOUN
cana-3962	32	21	-	-	PUNCT
cana-3962	32	22	making	make	VERB
cana-3962	32	23	procedures	procedure	NOUN
cana-3962	32	24	.	.	PUNCT
cana-3962	33	1	the	the	DET
cana-3962	33	2	issue	issue	NOUN
cana-3962	33	3	of	of	ADP
cana-3962	33	4	establishing	establish	VERB
cana-3962	33	5	trust	trust	NOUN
cana-3962	33	6	and	and	CCONJ
cana-3962	33	7	acceptance	acceptance	NOUN
cana-3962	33	8	among	among	ADP
cana-3962	33	9	professionals	professional	NOUN
cana-3962	33	10	is	be	AUX
cana-3962	33	11	posed	pose	VERB
cana-3962	33	12	by	by	ADP
cana-3962	33	13	this	this	DET
cana-3962	33	14	lack	lack	NOUN
cana-3962	33	15	of	of	ADP
cana-3962	33	16	transparency	transparency	NOUN
cana-3962	33	17	.	.	PUNCT
cana-3962	34	1	addressing	address	VERB
cana-3962	34	2	these	these	DET
cana-3962	34	3	issues	issue	NOUN
cana-3962	34	4	,	,	PUNCT
cana-3962	34	5	the	the	DET
cana-3962	34	6	main	main	ADJ
cana-3962	34	7	objectives	objective	NOUN
cana-3962	34	8	of	of	ADP
cana-3962	34	9	this	this	DET
cana-3962	34	10	work	work	NOUN
cana-3962	34	11	are	be	AUX
cana-3962	34	12	described	describe	VERB
cana-3962	34	13	as	as	ADP
cana-3962	34	14	:	:	PUNCT
cana-3962	34	15	•	•	ADP
cana-3962	34	16	to	to	PART
cana-3962	34	17	develop	develop	VERB
cana-3962	34	18	an	an	DET
cana-3962	34	19	efficient	efficient	ADJ
cana-3962	34	20	and	and	CCONJ
cana-3962	34	21	accurate	accurate	ADJ
cana-3962	34	22	diagnostic	diagnostic	ADJ
cana-3962	34	23	model	model	NOUN
cana-3962	34	24	for	for	ADP
cana-3962	34	25	monkeypox	monkeypox	NOUN
cana-3962	34	26	disease	disease	NOUN
cana-3962	34	27	by	by	ADP
cana-3962	34	28	integrating	integrate	VERB
cana-3962	34	29	pre	pre	ADJ
cana-3962	34	30	-	-	ADJ
cana-3962	34	31	trained	train	VERB
cana-3962	34	32	deep	deep	ADJ
cana-3962	34	33	learning	learning	NOUN
cana-3962	34	34	models	model	NOUN
cana-3962	34	35	and	and	CCONJ
cana-3962	34	36	leveraging	leverage	VERB
cana-3962	34	37	advanced	advanced	ADJ
cana-3962	34	38	feature	feature	NOUN
cana-3962	34	39	fusion	fusion	NOUN
cana-3962	34	40	techniques	technique	NOUN
cana-3962	34	41	.	.	PUNCT
cana-3962	35	1	•	•	NUM
cana-3962	35	2	explore	explore	VERB
cana-3962	35	3	various	various	ADJ
cana-3962	35	4	feature	feature	NOUN
cana-3962	35	5	fusion	fusion	NOUN
cana-3962	35	6	techniques	technique	NOUN
cana-3962	35	7	(	(	PUNCT
cana-3962	35	8	e.g.	e.g.	ADV
cana-3962	35	9	,	,	PUNCT
cana-3962	35	10	concatenation	concatenation	ADJ
cana-3962	35	11	,	,	PUNCT
cana-3962	35	12	additive	additive	ADJ
cana-3962	35	13	fusion	fusion	NOUN
cana-3962	35	14	,	,	PUNCT
cana-3962	35	15	multiplicative	multiplicative	ADJ
cana-3962	35	16	fusion	fusion	NOUN
cana-3962	35	17	)	)	PUNCT
cana-3962	35	18	to	to	PART
cana-3962	35	19	determine	determine	VERB
cana-3962	35	20	the	the	DET
cana-3962	35	21	best	good	ADJ
cana-3962	35	22	approach	approach	NOUN
cana-3962	35	23	for	for	ADP
cana-3962	35	24	combining	combine	VERB
cana-3962	35	25	features	feature	NOUN
cana-3962	35	26	extracted	extract	VERB
cana-3962	35	27	from	from	ADP
cana-3962	35	28	the	the	DET
cana-3962	35	29	models	model	NOUN
cana-3962	35	30	.	.	PUNCT
cana-3962	36	1	•	•	NUM
cana-3962	36	2	analyse	analyse	VERB
cana-3962	36	3	the	the	DET
cana-3962	36	4	advantages	advantage	NOUN
cana-3962	36	5	and	and	CCONJ
cana-3962	36	6	limitations	limitation	NOUN
cana-3962	36	7	of	of	ADP
cana-3962	36	8	each	each	DET
cana-3962	36	9	fusion	fusion	NOUN
cana-3962	36	10	method	method	NOUN
cana-3962	36	11	to	to	PART
cana-3962	36	12	identify	identify	VERB
cana-3962	36	13	the	the	DET
cana-3962	36	14	most	most	ADV
cana-3962	36	15	effective	effective	ADJ
cana-3962	36	16	technique	technique	NOUN
cana-3962	36	17	for	for	ADP
cana-3962	36	18	improving	improve	VERB
cana-3962	36	19	classification	classification	NOUN
cana-3962	36	20	accuracy	accuracy	NOUN
cana-3962	36	21	.	.	PUNCT
cana-3962	37	1	•	•	NUM
cana-3962	37	2	evaluate	evaluate	VERB
cana-3962	37	3	the	the	DET
cana-3962	37	4	model	model	NOUN
cana-3962	37	5	using	use	VERB
cana-3962	37	6	six	six	NUM
cana-3962	37	7	performance	performance	NOUN
cana-3962	37	8	metrics	metric	NOUN
cana-3962	37	9	(	(	PUNCT
cana-3962	37	10	accuracy	accuracy	NOUN
cana-3962	37	11	,	,	PUNCT
cana-3962	37	12	precision	precision	NOUN
cana-3962	37	13	,	,	PUNCT
cana-3962	37	14	recall	recall	NOUN
cana-3962	37	15	,	,	PUNCT
cana-3962	37	16	f1	f1	NOUN
cana-3962	37	17	-	-	PUNCT
cana-3962	37	18	score	score	NOUN
cana-3962	37	19	,	,	PUNCT
cana-3962	37	20	roc	roc	PROPN
cana-3962	37	21	,	,	PUNCT
cana-3962	37	22	and	and	CCONJ
cana-3962	37	23	auc	auc	NOUN
cana-3962	37	24	)	)	PUNCT
cana-3962	37	25	to	to	PART
cana-3962	37	26	ensure	ensure	VERB
cana-3962	37	27	reliability	reliability	NOUN
cana-3962	37	28	and	and	CCONJ
cana-3962	37	29	generalizability	generalizability	NOUN
cana-3962	37	30	.	.	PUNCT
cana-3962	38	1	•	•	NUM
cana-3962	38	2	conduct	conduct	VERB
cana-3962	38	3	comparative	comparative	ADJ
cana-3962	38	4	analysis	analysis	NOUN
cana-3962	38	5	on	on	ADP
cana-3962	38	6	two	two	NUM
cana-3962	38	7	publicly	publicly	ADV
cana-3962	38	8	available	available	ADJ
cana-3962	38	9	datasets	dataset	NOUN
cana-3962	38	10	(	(	PUNCT
cana-3962	38	11	msid	msid	ADJ
cana-3962	38	12	and	and	CCONJ
cana-3962	38	13	msld	msld	NOUN
cana-3962	38	14	)	)	PUNCT
cana-3962	38	15	to	to	PART
cana-3962	38	16	validate	validate	VERB
cana-3962	38	17	the	the	DET
cana-3962	38	18	model	model	NOUN
cana-3962	38	19	’s	’s	PART
cana-3962	38	20	effectiveness	effectiveness	NOUN
cana-3962	38	21	.	.	PUNCT
cana-3962	39	1	this	this	DET
cana-3962	39	2	research	research	NOUN
cana-3962	39	3	aims	aim	VERB
cana-3962	39	4	to	to	PART
cana-3962	39	5	address	address	VERB
cana-3962	39	6	the	the	DET
cana-3962	39	7	challenges	challenge	NOUN
cana-3962	39	8	of	of	ADP
cana-3962	39	9	early	early	ADJ
cana-3962	39	10	and	and	CCONJ
cana-3962	39	11	accurate	accurate	ADJ
cana-3962	39	12	detection	detection	NOUN
cana-3962	39	13	of	of	ADP
cana-3962	39	14	monkeypox	monkeypox	NOUN
cana-3962	39	15	disease	disease	NOUN
cana-3962	39	16	,	,	PUNCT
cana-3962	39	17	contributing	contribute	VERB
cana-3962	39	18	to	to	ADP
cana-3962	39	19	better	well	ADJ
cana-3962	39	20	disease	disease	NOUN
cana-3962	39	21	management	management	NOUN
cana-3962	39	22	and	and	CCONJ
cana-3962	39	23	containment	containment	NOUN
cana-3962	39	24	strategies	strategy	NOUN
cana-3962	39	25	.	.	PUNCT
cana-3962	40	1	2	2	X
cana-3962	40	2	.	.	X
cana-3962	40	3	related	relate	VERB
cana-3962	40	4	work	work	NOUN
cana-3962	40	5	kinjal	kinjal	ADJ
cana-3962	40	6	a.	a.	NOUN
cana-3962	40	7	patel	patel	PROPN
cana-3962	40	8	et	et	PROPN
cana-3962	40	9	al	al	PROPN
cana-3962	40	10	.	.	PROPN
cana-3962	40	11	,	,	PUNCT
cana-3962	40	12	compares	compare	VERB
cana-3962	40	13	several	several	ADJ
cana-3962	40	14	deep	deep	ADJ
cana-3962	40	15	learning	learning	NOUN
cana-3962	40	16	(	(	PUNCT
cana-3962	40	17	dl	dl	NOUN
cana-3962	40	18	)	)	PUNCT
cana-3962	40	19	and	and	CCONJ
cana-3962	40	20	machine	machine	NOUN
cana-3962	40	21	learning	learning	NOUN
cana-3962	40	22	(	(	PUNCT
cana-3962	40	23	ml	ml	NOUN
cana-3962	40	24	)	)	PUNCT
cana-3962	40	25	models	model	NOUN
cana-3962	40	26	for	for	ADP
cana-3962	40	27	monkeypox	monkeypox	NOUN
cana-3962	40	28	detection	detection	NOUN
cana-3962	40	29	.	.	PUNCT
cana-3962	41	1	they	they	PRON
cana-3962	41	2	highlight	highlight	VERB
cana-3962	41	3	the	the	DET
cana-3962	41	4	ways	way	NOUN
cana-3962	41	5	in	in	ADP
cana-3962	41	6	which	which	PRON
cana-3962	41	7	contemporary	contemporary	ADJ
cana-3962	41	8	data	data	NOUN
cana-3962	41	9	analytics	analytic	NOUN
cana-3962	41	10	may	may	AUX
cana-3962	41	11	strengthen	strengthen	VERB
cana-3962	41	12	surveillance	surveillance	NOUN
cana-3962	41	13	efforts	effort	NOUN
cana-3962	41	14	,	,	PUNCT
cana-3962	41	15	expedite	expedite	ADJ
cana-3962	41	16	intervention	intervention	NOUN
cana-3962	41	17	,	,	PUNCT
cana-3962	41	18	and	and	CCONJ
cana-3962	41	19	increase	increase	VERB
cana-3962	41	20	early	early	ADJ
cana-3962	41	21	detection	detection	NOUN
cana-3962	41	22	in	in	ADP
cana-3962	41	23	the	the	DET
cana-3962	41	24	fight	fight	NOUN
cana-3962	41	25	against	against	ADP
cana-3962	41	26	monkeypox	monkeypox	NOUN
cana-3962	41	27	epidemics	epidemic	NOUN
cana-3962	41	28	[	[	X
cana-3962	41	29	[	[	X
cana-3962	41	30	5	5	NUM
cana-3962	41	31	]	]	X
cana-3962	41	32	]	]	PUNCT
cana-3962	41	33	.	.	PUNCT
cana-3962	42	1	the	the	DET
cana-3962	42	2	study	study	NOUN
cana-3962	42	3	contrasts	contrast	VERB
cana-3962	42	4	sophisticated	sophisticated	ADJ
cana-3962	42	5	deep	deep	ADJ
cana-3962	42	6	learning	learning	NOUN
cana-3962	42	7	models	model	NOUN
cana-3962	42	8	like	like	ADP
cana-3962	42	9	convolutional	convolutional	ADJ
cana-3962	42	10	neural	neural	ADJ
cana-3962	42	11	networks	network	NOUN
cana-3962	42	12	(	(	PUNCT
cana-3962	42	13	cnn	cnn	PROPN
cana-3962	42	14	)	)	PUNCT
cana-3962	42	15	and	and	CCONJ
cana-3962	42	16	extended	extend	VERB
cana-3962	42	17	convolutional	convolutional	ADJ
cana-3962	42	18	neural	neural	ADJ
cana-3962	42	19	networks	network	NOUN
cana-3962	42	20	(	(	PUNCT
cana-3962	42	21	ecnn	ecnn	PROPN
cana-3962	42	22	)	)	PUNCT
cana-3962	42	23	with	with	ADP
cana-3962	42	24	more	more	ADJ
cana-3962	42	25	conventional	conventional	ADJ
cana-3962	42	26	machine	machine	NOUN
cana-3962	42	27	learning	learn	VERB
cana-3962	42	28	techniques	technique	NOUN
cana-3962	42	29	like	like	ADP
cana-3962	42	30	decision	decision	NOUN
cana-3962	42	31	trees	tree	NOUN
cana-3962	42	32	,	,	PUNCT
cana-3962	42	33	support	support	NOUN
cana-3962	42	34	vector	vector	NOUN
cana-3962	42	35	machines	machine	NOUN
cana-3962	42	36	(	(	PUNCT
cana-3962	42	37	svm	svm	PROPN
cana-3962	42	38	)	)	PUNCT
cana-3962	42	39	,	,	PUNCT
cana-3962	42	40	and	and	CCONJ
cana-3962	42	41	random	random	ADJ
cana-3962	42	42	forests[20	forests[20	NOUN
cana-3962	42	43	]	]	PUNCT
cana-3962	42	44	.	.	PUNCT
cana-3962	43	1	the	the	DET
cana-3962	43	2	study	study	NOUN
cana-3962	43	3	's	's	PART
cana-3962	43	4	ecnn	ecnn	ADJ
cana-3962	43	5	model	model	NOUN
cana-3962	43	6	identified	identify	VERB
cana-3962	43	7	monkeypox	monkeypox	NOUN
cana-3962	43	8	with	with	ADP
cana-3962	43	9	an	an	DET
cana-3962	43	10	accuracy	accuracy	NOUN
cana-3962	43	11	of	of	ADP
cana-3962	43	12	88.10	88.10	NUM
cana-3962	43	13	%	%	NOUN
cana-3962	43	14	.	.	PUNCT
cana-3962	44	1	compared	compare	VERB
cana-3962	44	2	to	to	ADP
cana-3962	44	3	machine	machine	NOUN
cana-3962	44	4	learning	learning	NOUN
cana-3962	44	5	methods	method	NOUN
cana-3962	44	6	,	,	PUNCT
cana-3962	44	7	it	it	PRON
cana-3962	44	8	performed	perform	VERB
cana-3962	44	9	better	well	ADV
cana-3962	44	10	in	in	ADP
cana-3962	44	11	the	the	DET
cana-3962	44	12	classification	classification	NOUN
cana-3962	44	13	of	of	ADP
cana-3962	44	14	infected	infected	ADJ
cana-3962	44	15	individuals	individual	NOUN
cana-3962	44	16	.	.	PUNCT
cana-3962	45	1	the	the	DET
cana-3962	45	2	study	study	NOUN
cana-3962	45	3	concludes	conclude	VERB
cana-3962	45	4	that	that	SCONJ
cana-3962	45	5	deep	deep	ADJ
cana-3962	45	6	learning	learning	NOUN
cana-3962	45	7	methods	method	NOUN
cana-3962	45	8	,	,	PUNCT
cana-3962	45	9	in	in	ADP
cana-3962	45	10	particular	particular	ADJ
cana-3962	45	11	cnn	cnn	PROPN
cana-3962	45	12	and	and	CCONJ
cana-3962	45	13	ecnn	ecnn	PROPN
cana-3962	45	14	,	,	PUNCT
cana-3962	45	15	significantly	significantly	ADV
cana-3962	45	16	enhance	enhance	VERB
cana-3962	45	17	the	the	DET
cana-3962	45	18	ability	ability	NOUN
cana-3962	45	19	to	to	PART
cana-3962	45	20	identify	identify	VERB
cana-3962	45	21	monkeypox	monkeypox	NOUN
cana-3962	45	22	.	.	PUNCT
cana-3962	46	1	krishna	krishna	PROPN
cana-3962	46	2	raj	raj	PROPN
cana-3962	46	3	chadaga	chadaga	PROPN
cana-3962	46	4	et	et	PROPN
cana-3962	46	5	al	al	PROPN
cana-3962	46	6	.	.	PROPN
cana-3962	46	7	conduct	conduct	VERB
cana-3962	46	8	a	a	DET
cana-3962	46	9	thorough	thorough	ADJ
cana-3962	46	10	evaluation	evaluation	NOUN
cana-3962	46	11	of	of	ADP
cana-3962	46	12	the	the	DET
cana-3962	46	13	application	application	NOUN
cana-3962	46	14	of	of	ADP
cana-3962	46	15	artificial	artificial	ADJ
cana-3962	46	16	intelligence	intelligence	NOUN
cana-3962	46	17	(	(	PUNCT
cana-3962	46	18	ai	ai	NOUN
cana-3962	46	19	)	)	PUNCT
cana-3962	46	20	techniques	technique	NOUN
cana-3962	46	21	in	in	ADP
cana-3962	46	22	the	the	DET
cana-3962	46	23	field	field	NOUN
cana-3962	46	24	of	of	ADP
cana-3962	46	25	monkeypox	monkeypox	NOUN
cana-3962	46	26	(	(	PUNCT
cana-3962	46	27	mpox	mpox	NOUN
cana-3962	46	28	)	)	PUNCT
cana-3962	46	29	epidemiological	epidemiological	ADJ
cana-3962	46	30	modelling	modelling	NOUN
cana-3962	46	31	,	,	PUNCT
cana-3962	46	32	therapy	therapy	NOUN
cana-3962	46	33	,	,	PUNCT
cana-3962	46	34	and	and	CCONJ
cana-3962	46	35	diagnosis	diagnosis	NOUN
cana-3962	47	1	[	[	X
cana-3962	47	2	[	[	X
cana-3962	47	3	6	6	NUM
cana-3962	47	4	]	]	X
cana-3962	47	5	]	]	PUNCT
cana-3962	47	6	.	.	PUNCT
cana-3962	48	1	the	the	DET
cana-3962	48	2	comprehensive	comprehensive	ADJ
cana-3962	48	3	study	study	NOUN
cana-3962	48	4	found	find	VERB
cana-3962	48	5	34	34	NUM
cana-3962	48	6	studies	study	NOUN
cana-3962	48	7	that	that	PRON
cana-3962	48	8	used	use	VERB
cana-3962	48	9	ai	ai	VERB
cana-3962	48	10	methods	method	NOUN
cana-3962	48	11	to	to	PART
cana-3962	48	12	fight	fight	VERB
cana-3962	48	13	malaria	malaria	NOUN
cana-3962	48	14	.	.	PUNCT
cana-3962	49	1	mobilenet	mobilenet	PROPN
cana-3962	49	2	,	,	PUNCT
cana-3962	49	3	vgg-16	vgg-16	NOUN
cana-3962	49	4	,	,	PUNCT
cana-3962	49	5	resnet	resnet	NOUN
cana-3962	49	6	,	,	PUNCT
cana-3962	49	7	and	and	CCONJ
cana-3962	49	8	inceptionnet	inceptionnet	NOUN
cana-3962	49	9	are	be	AUX
cana-3962	49	10	the	the	DET
cana-3962	49	11	ai	ai	PROPN
cana-3962	49	12	models	model	NOUN
cana-3962	49	13	that	that	PRON
cana-3962	49	14	are	be	AUX
cana-3962	49	15	communications	communication	NOUN
cana-3962	49	16	on	on	ADP
cana-3962	49	17	applied	apply	VERB
cana-3962	49	18	nonlinear	nonlinear	ADJ
cana-3962	49	19	analysis	analysis	NOUN
cana-3962	49	20	issn	issn	NOUN
cana-3962	49	21	:	:	PUNCT
cana-3962	49	22	1074	1074	NUM
cana-3962	49	23	-	-	PUNCT
cana-3962	49	24	133x	133x	NUM
cana-3962	49	25	vol	vol	NOUN
cana-3962	49	26	32	32	NUM
cana-3962	49	27	no	no	NOUN
cana-3962	49	28	.	.	PUNCT
cana-3962	50	1	9s	9s	NUM
cana-3962	50	2	(	(	PUNCT
cana-3962	50	3	2025	2025	NUM
cana-3962	50	4	)	)	PUNCT
cana-3962	50	5	529	529	NUM
cana-3962	50	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3962	50	7	most	most	ADV
cana-3962	50	8	frequently	frequently	ADV
cana-3962	50	9	employed	employ	VERB
cana-3962	50	10	in	in	ADP
cana-3962	50	11	detection	detection	NOUN
cana-3962	50	12	.	.	PUNCT
cana-3962	51	1	this	this	DET
cana-3962	51	2	paper	paper	NOUN
cana-3962	51	3	offers	offer	VERB
cana-3962	51	4	a	a	DET
cana-3962	51	5	thorough	thorough	ADJ
cana-3962	51	6	analysis	analysis	NOUN
cana-3962	51	7	of	of	ADP
cana-3962	51	8	how	how	SCONJ
cana-3962	51	9	artificial	artificial	ADJ
cana-3962	51	10	intelligence	intelligence	NOUN
cana-3962	51	11	(	(	PUNCT
cana-3962	51	12	ai	ai	VERB
cana-3962	51	13	)	)	PUNCT
cana-3962	51	14	is	be	AUX
cana-3962	51	15	furthering	further	VERB
cana-3962	51	16	the	the	DET
cana-3962	51	17	study	study	NOUN
cana-3962	51	18	of	of	ADP
cana-3962	51	19	monkeypox	monkeypox	NOUN
cana-3962	51	20	and	and	CCONJ
cana-3962	51	21	developing	develop	VERB
cana-3962	51	22	medical	medical	ADJ
cana-3962	51	23	treatments	treatment	NOUN
cana-3962	51	24	,	,	PUNCT
cana-3962	51	25	highlighting	highlight	VERB
cana-3962	51	26	its	its	PRON
cana-3962	51	27	use	use	NOUN
cana-3962	51	28	in	in	ADP
cana-3962	51	29	clinical	clinical	ADJ
cana-3962	51	30	settings	setting	NOUN
cana-3962	51	31	as	as	ADV
cana-3962	51	32	well	well	ADV
cana-3962	51	33	as	as	ADP
cana-3962	51	34	in	in	ADP
cana-3962	51	35	understanding	understand	VERB
cana-3962	51	36	the	the	DET
cana-3962	51	37	transmission	transmission	NOUN
cana-3962	51	38	of	of	ADP
cana-3962	51	39	the	the	DET
cana-3962	51	40	virus	virus	NOUN
cana-3962	51	41	and	and	CCONJ
cana-3962	51	42	public	public	ADJ
cana-3962	51	43	opinion	opinion	NOUN
cana-3962	51	44	.	.	PUNCT
cana-3962	52	1	possible	possible	ADJ
cana-3962	52	2	uses	use	NOUN
cana-3962	52	3	of	of	ADP
cana-3962	52	4	ai	ai	VERB
cana-3962	52	5	in	in	ADP
cana-3962	52	6	telemedicine	telemedicine	NOUN
cana-3962	52	7	and	and	CCONJ
cana-3962	52	8	cloud	cloud	NOUN
cana-3962	52	9	-	-	PUNCT
cana-3962	52	10	based	base	VERB
cana-3962	52	11	mpox	mpox	NOUN
cana-3962	52	12	management	management	NOUN
cana-3962	52	13	systems	system	NOUN
cana-3962	52	14	are	be	AUX
cana-3962	52	15	explored	explore	VERB
cana-3962	52	16	as	as	ADP
cana-3962	52	17	potential	potential	ADJ
cana-3962	52	18	future	future	ADJ
cana-3962	52	19	directions	direction	NOUN
cana-3962	52	20	.	.	PUNCT
cana-3962	53	1	katy	katy	PROPN
cana-3962	53	2	brown	brown	PROPN
cana-3962	53	3	et	et	PROPN
cana-3962	53	4	al	al	PROPN
cana-3962	53	5	.	.	PROPN
cana-3962	53	6	emphasizes	emphasize	VERB
cana-3962	53	7	the	the	DET
cana-3962	53	8	need	need	NOUN
cana-3962	53	9	for	for	ADP
cana-3962	53	10	improved	improve	VERB
cana-3962	53	11	diagnostic	diagnostic	ADJ
cana-3962	53	12	tools	tool	NOUN
cana-3962	53	13	,	,	PUNCT
cana-3962	53	14	vaccines	vaccine	NOUN
cana-3962	53	15	,	,	PUNCT
cana-3962	53	16	and	and	CCONJ
cana-3962	53	17	antiviral	antiviral	ADJ
cana-3962	53	18	treatments	treatment	NOUN
cana-3962	53	19	to	to	PART
cana-3962	53	20	prevent	prevent	VERB
cana-3962	53	21	future	future	ADJ
cana-3962	53	22	monkeypox	monkeypox	NOUN
cana-3962	53	23	outbreaks	outbreak	NOUN
cana-3962	53	24	,	,	PUNCT
cana-3962	53	25	especially	especially	ADV
cana-3962	53	26	considering	consider	VERB
cana-3962	53	27	environmental	environmental	ADJ
cana-3962	53	28	changes	change	NOUN
cana-3962	53	29	that	that	PRON
cana-3962	53	30	increase	increase	VERB
cana-3962	53	31	contact	contact	NOUN
cana-3962	53	32	with	with	ADP
cana-3962	53	33	reservoir	reservoir	NOUN
cana-3962	53	34	hosts	host	NOUN
cana-3962	53	35	.	.	PUNCT
cana-3962	54	1	strengthening	strengthen	VERB
cana-3962	54	2	surveillance	surveillance	NOUN
cana-3962	54	3	systems	system	NOUN
cana-3962	54	4	,	,	PUNCT
cana-3962	54	5	improving	improve	VERB
cana-3962	54	6	diagnostic	diagnostic	ADJ
cana-3962	54	7	capacity	capacity	NOUN
cana-3962	54	8	,	,	PUNCT
cana-3962	54	9	and	and	CCONJ
cana-3962	54	10	educating	educate	VERB
cana-3962	54	11	populations	population	NOUN
cana-3962	54	12	in	in	ADP
cana-3962	54	13	endemic	endemic	ADJ
cana-3962	54	14	areas	area	NOUN
cana-3962	54	15	about	about	ADP
cana-3962	54	16	zoonotic	zoonotic	ADJ
cana-3962	54	17	risks	risk	NOUN
cana-3962	54	18	are	be	AUX
cana-3962	54	19	crucial	crucial	ADJ
cana-3962	54	20	.	.	PUNCT
cana-3962	55	1	pre	pre	ADJ
cana-3962	55	2	-	-	ADJ
cana-3962	55	3	event	event	ADJ
cana-3962	55	4	vaccination	vaccination	NOUN
cana-3962	55	5	of	of	ADP
cana-3962	55	6	healthcare	healthcare	NOUN
cana-3962	55	7	workers	worker	NOUN
cana-3962	55	8	and	and	CCONJ
cana-3962	55	9	high	high	ADJ
cana-3962	55	10	-	-	PUNCT
cana-3962	55	11	risk	risk	NOUN
cana-3962	55	12	individuals	individual	NOUN
cana-3962	55	13	is	be	AUX
cana-3962	55	14	recommended	recommend	VERB
cana-3962	55	15	by	by	ADP
cana-3962	55	16	health	health	NOUN
cana-3962	55	17	agencies	agency	NOUN
cana-3962	55	18	like	like	ADP
cana-3962	55	19	the	the	DET
cana-3962	55	20	cdc	cdc	PROPN
cana-3962	56	1	[	[	X
cana-3962	56	2	[	[	X
cana-3962	56	3	7	7	NUM
cana-3962	56	4	]	]	SYM
cana-3962	56	5	]	]	PUNCT
cana-3962	56	6	.	.	PUNCT
cana-3962	57	1	sahin	sahin	PROPN
cana-3962	57	2	,	,	PUNCT
cana-3962	57	3	v.h.et	v.h.et	PROPN
cana-3962	57	4	al	al	PROPN
cana-3962	57	5	.	.	PROPN
cana-3962	57	6	proposes	propose	VERB
cana-3962	57	7	an	an	DET
cana-3962	57	8	android	android	PROPN
cana-3962	57	9	mobile	mobile	ADJ
cana-3962	57	10	application	application	NOUN
cana-3962	57	11	that	that	PRON
cana-3962	57	12	classifies	classify	VERB
cana-3962	57	13	skin	skin	NOUN
cana-3962	57	14	lesions	lesion	NOUN
cana-3962	57	15	and	and	CCONJ
cana-3962	57	16	determines	determine	VERB
cana-3962	57	17	if	if	SCONJ
cana-3962	57	18	they	they	PRON
cana-3962	57	19	are	be	AUX
cana-3962	57	20	monkeypox	monkeypox	NOUN
cana-3962	57	21	-	-	PUNCT
cana-3962	57	22	related	relate	VERB
cana-3962	57	23	using	use	VERB
cana-3962	57	24	deep	deep	ADJ
cana-3962	57	25	learning	learning	NOUN
cana-3962	57	26	.	.	PUNCT
cana-3962	58	1	by	by	ADP
cana-3962	58	2	offering	offer	VERB
cana-3962	58	3	users	user	NOUN
cana-3962	58	4	a	a	DET
cana-3962	58	5	prompt	prompt	ADJ
cana-3962	58	6	,	,	PUNCT
cana-3962	58	7	non	non	ADJ
cana-3962	58	8	-	-	ADJ
cana-3962	58	9	invasive	invasive	ADJ
cana-3962	58	10	preliminary	preliminary	ADJ
cana-3962	58	11	diagnosis	diagnosis	NOUN
cana-3962	58	12	,	,	PUNCT
cana-3962	58	13	the	the	DET
cana-3962	58	14	app	app	NOUN
cana-3962	58	15	hopes	hope	VERB
cana-3962	58	16	to	to	PART
cana-3962	58	17	encourage	encourage	VERB
cana-3962	58	18	those	those	PRON
cana-3962	58	19	who	who	PRON
cana-3962	58	20	are	be	AUX
cana-3962	58	21	infected	infect	VERB
cana-3962	58	22	to	to	PART
cana-3962	58	23	seek	seek	VERB
cana-3962	58	24	expert	expert	ADJ
cana-3962	58	25	medical	medical	ADJ
cana-3962	58	26	assistance	assistance	NOUN
cana-3962	58	27	as	as	ADV
cana-3962	58	28	soon	soon	ADV
cana-3962	58	29	as	as	ADP
cana-3962	58	30	possible	possible	ADJ
cana-3962	58	31	.	.	PUNCT
cana-3962	59	1	the	the	DET
cana-3962	59	2	system	system	NOUN
cana-3962	59	3	's	's	PART
cana-3962	59	4	fundamental	fundamental	ADJ
cana-3962	59	5	component	component	NOUN
cana-3962	59	6	is	be	AUX
cana-3962	59	7	a	a	DET
cana-3962	59	8	deep	deep	ADJ
cana-3962	59	9	learning	learning	NOUN
cana-3962	59	10	model	model	NOUN
cana-3962	59	11	that	that	PRON
cana-3962	59	12	classifies	classify	VERB
cana-3962	59	13	images	image	NOUN
cana-3962	59	14	using	use	VERB
cana-3962	59	15	pre	pre	ADJ
cana-3962	59	16	-	-	ADJ
cana-3962	59	17	trained	train	VERB
cana-3962	59	18	networks	network	NOUN
cana-3962	59	19	(	(	PUNCT
cana-3962	59	20	such	such	ADJ
cana-3962	59	21	mobilenetv2	mobilenetv2	NOUN
cana-3962	59	22	and	and	CCONJ
cana-3962	59	23	efficientnetb0	efficientnetb0	PROPN
cana-3962	59	24	)	)	PUNCT
cana-3962	59	25	on	on	ADP
cana-3962	59	26	msld	msld	NOUN
cana-3962	59	27	dataset	dataset	NOUN
cana-3962	59	28	.	.	PUNCT
cana-3962	60	1	f1	f1	PROPN
cana-3962	60	2	score	score	NOUN
cana-3962	60	3	,	,	PUNCT
cana-3962	60	4	accuracy	accuracy	NOUN
cana-3962	60	5	,	,	PUNCT
cana-3962	60	6	and	and	CCONJ
cana-3962	60	7	precision	precision	NOUN
cana-3962	60	8	are	be	AUX
cana-3962	60	9	among	among	ADP
cana-3962	60	10	the	the	DET
cana-3962	60	11	common	common	ADJ
cana-3962	60	12	measures	measure	NOUN
cana-3962	60	13	used	use	VERB
cana-3962	60	14	to	to	PART
cana-3962	60	15	assess	assess	VERB
cana-3962	60	16	the	the	DET
cana-3962	60	17	performance	performance	NOUN
cana-3962	60	18	of	of	ADP
cana-3962	60	19	the	the	DET
cana-3962	60	20	system	system	NOUN
cana-3962	60	21	.	.	PUNCT
cana-3962	61	1	with	with	ADP
cana-3962	61	2	an	an	DET
cana-3962	61	3	accuracy	accuracy	NOUN
cana-3962	61	4	rate	rate	NOUN
cana-3962	61	5	of	of	ADP
cana-3962	61	6	91.11	91.11	NUM
cana-3962	61	7	%	%	NOUN
cana-3962	61	8	,	,	PUNCT
cana-3962	61	9	the	the	DET
cana-3962	61	10	mobilenetv2	mobilenetv2	PROPN
cana-3962	61	11	model	model	NOUN
cana-3962	61	12	produced	produce	VERB
cana-3962	61	13	the	the	DET
cana-3962	61	14	best	good	ADJ
cana-3962	61	15	results	result	NOUN
cana-3962	61	16	and	and	CCONJ
cana-3962	61	17	is	be	AUX
cana-3962	61	18	a	a	DET
cana-3962	61	19	par	par	NOUN
cana-3962	61	20	with	with	ADP
cana-3962	61	21	other	other	ADJ
cana-3962	61	22	cutting	cutting	NOUN
cana-3962	61	23	-	-	PUNCT
cana-3962	61	24	edge	edge	NOUN
cana-3962	61	25	techniques	technique	NOUN
cana-3962	61	26	in	in	ADP
cana-3962	61	27	this	this	DET
cana-3962	61	28	field	field	NOUN
cana-3962	62	1	[	[	X
cana-3962	62	2	[	[	X
cana-3962	62	3	8	8	NUM
cana-3962	62	4	]	]	SYM
cana-3962	62	5	]	]	PUNCT
cana-3962	62	6	.	.	PUNCT
cana-3962	63	1	irmak	irmak	PROPN
cana-3962	63	2	,	,	PUNCT
cana-3962	63	3	m.c	m.c	PROPN
cana-3962	63	4	.	.	PROPN
cana-3962	63	5	et	et	PROPN
cana-3962	63	6	al	al	PROPN
cana-3962	63	7	.	.	PROPN
cana-3962	63	8	investigated	investigate	VERB
cana-3962	63	9	the	the	DET
cana-3962	63	10	accuracy	accuracy	NOUN
cana-3962	63	11	metrics	metric	NOUN
cana-3962	63	12	of	of	ADP
cana-3962	63	13	three	three	NUM
cana-3962	63	14	approaches	approach	NOUN
cana-3962	63	15	for	for	ADP
cana-3962	63	16	classifying	classify	VERB
cana-3962	63	17	images	image	NOUN
cana-3962	63	18	from	from	ADP
cana-3962	63	19	the	the	DET
cana-3962	63	20	monkeypox	monkeypox	NOUN
cana-3962	63	21	skin	skin	NOUN
cana-3962	63	22	image	image	NOUN
cana-3962	63	23	dataset	dataset	NOUN
cana-3962	63	24	,	,	PUNCT
cana-3962	63	25	which	which	PRON
cana-3962	63	26	was	be	AUX
cana-3962	63	27	made	make	VERB
cana-3962	63	28	publicly	publicly	ADV
cana-3962	63	29	available	available	ADJ
cana-3962	63	30	in	in	ADP
cana-3962	63	31	2022[[21	2022[[21	PROPN
cana-3962	63	32	]	]	X
cana-3962	63	33	]	]	PUNCT
cana-3962	63	34	.	.	PUNCT
cana-3962	64	1	the	the	DET
cana-3962	64	2	previously	previously	ADV
cana-3962	64	3	trained	train	VERB
cana-3962	64	4	cnn	cnn	PROPN
cana-3962	64	5	networks	network	NOUN
cana-3962	64	6	mobilenetv2	mobilenetv2	PROPN
cana-3962	64	7	,	,	PUNCT
cana-3962	64	8	vgg16	vgg16	PROPN
cana-3962	64	9	,	,	PUNCT
cana-3962	64	10	and	and	CCONJ
cana-3962	64	11	vgg19	vgg19	PROPN
cana-3962	64	12	were	be	AUX
cana-3962	64	13	used	use	VERB
cana-3962	64	14	for	for	ADP
cana-3962	64	15	this	this	DET
cana-3962	64	16	task	task	NOUN
cana-3962	64	17	.	.	PUNCT
cana-3962	65	1	mobilenetv2	mobilenetv2	PROPN
cana-3962	65	2	achieved	achieve	VERB
cana-3962	65	3	the	the	DET
cana-3962	65	4	best	good	ADJ
cana-3962	65	5	performance	performance	NOUN
cana-3962	65	6	results	result	NOUN
cana-3962	65	7	,	,	PUNCT
cana-3962	65	8	with	with	ADP
cana-3962	65	9	91.38	91.38	NUM
cana-3962	65	10	%	%	NOUN
cana-3962	65	11	accuracy	accuracy	NOUN
cana-3962	65	12	,	,	PUNCT
cana-3962	65	13	90.5	90.5	NUM
cana-3962	65	14	%	%	NOUN
cana-3962	65	15	precision	precision	NOUN
cana-3962	65	16	,	,	PUNCT
cana-3962	65	17	86.75	86.75	NUM
cana-3962	65	18	%	%	NOUN
cana-3962	65	19	recall	recall	NOUN
cana-3962	65	20	,	,	PUNCT
cana-3962	65	21	and	and	CCONJ
cana-3962	65	22	88.25	88.25	NUM
cana-3962	65	23	%	%	NOUN
cana-3962	65	24	f1	f1	NOUN
cana-3962	65	25	score	score	NOUN
cana-3962	65	26	.	.	PUNCT
cana-3962	66	1	the	the	DET
cana-3962	66	2	accuracy	accuracy	NOUN
cana-3962	66	3	of	of	ADP
cana-3962	66	4	the	the	DET
cana-3962	66	5	vgg16	vgg16	PROPN
cana-3962	66	6	and	and	CCONJ
cana-3962	66	7	vgg19	vgg19	PROPN
cana-3962	66	8	methods	method	NOUN
cana-3962	66	9	,	,	PUNCT
cana-3962	66	10	respectively	respectively	ADV
cana-3962	66	11	,	,	PUNCT
cana-3962	66	12	was	be	AUX
cana-3962	66	13	83.62	83.62	NUM
cana-3962	66	14	%	%	NOUN
cana-3962	66	15	and	and	CCONJ
cana-3962	66	16	78.45	78.45	NUM
cana-3962	66	17	%	%	NOUN
cana-3962	67	1	[	[	X
cana-3962	67	2	[	[	X
cana-3962	67	3	9	9	NUM
cana-3962	67	4	]	]	SYM
cana-3962	67	5	]	]	PUNCT
cana-3962	67	6	.	.	PUNCT
cana-3962	68	1	shivangi	shivangi	PROPN
cana-3962	68	2	surati	surati	PROPN
cana-3962	68	3	,	,	PUNCT
cana-3962	68	4	et	et	PROPN
cana-3962	68	5	al	al	PROPN
cana-3962	68	6	.	.	PROPN
cana-3962	68	7	suggests	suggest	VERB
cana-3962	68	8	a	a	DET
cana-3962	68	9	deep	deep	ADJ
cana-3962	68	10	learning	learning	NOUN
cana-3962	68	11	-	-	PUNCT
cana-3962	68	12	based	base	VERB
cana-3962	68	13	method	method	NOUN
cana-3962	68	14	for	for	ADP
cana-3962	68	15	categorising	categorise	VERB
cana-3962	68	16	measles	measle	NOUN
cana-3962	68	17	,	,	PUNCT
cana-3962	68	18	chickenpox	chickenpox	NOUN
cana-3962	68	19	,	,	PUNCT
cana-3962	68	20	and	and	CCONJ
cana-3962	68	21	monkeypox	monkeypox	VERB
cana-3962	68	22	to	to	PART
cana-3962	68	23	reduce	reduce	VERB
cana-3962	68	24	the	the	DET
cana-3962	68	25	difficulty	difficulty	NOUN
cana-3962	68	26	of	of	ADP
cana-3962	68	27	identifying	identify	VERB
cana-3962	68	28	the	the	DET
cana-3962	68	29	disease	disease	NOUN
cana-3962	68	30	.	.	PUNCT
cana-3962	69	1	the	the	DET
cana-3962	69	2	reason	reason	NOUN
cana-3962	69	3	for	for	ADP
cana-3962	69	4	this	this	PRON
cana-3962	69	5	is	be	AUX
cana-3962	69	6	the	the	DET
cana-3962	69	7	overlapping	overlapping	ADJ
cana-3962	69	8	visual	visual	ADJ
cana-3962	69	9	symptoms	symptom	NOUN
cana-3962	69	10	of	of	ADP
cana-3962	69	11	monkeypox	monkeypox	NOUN
cana-3962	69	12	making	make	VERB
cana-3962	69	13	it	it	PRON
cana-3962	69	14	difficult	difficult	ADJ
cana-3962	69	15	to	to	PART
cana-3962	69	16	differentiate	differentiate	VERB
cana-3962	69	17	it	it	PRON
cana-3962	69	18	from	from	ADP
cana-3962	69	19	other	other	ADJ
cana-3962	69	20	diseases	disease	NOUN
cana-3962	69	21	.	.	PUNCT
cana-3962	70	1	an	an	DET
cana-3962	70	2	attention	attention	NOUN
cana-3962	70	3	model	model	NOUN
cana-3962	70	4	merged	merge	VERB
cana-3962	70	5	with	with	ADP
cana-3962	70	6	well	well	ADV
cana-3962	70	7	-	-	PUNCT
cana-3962	70	8	known	know	VERB
cana-3962	70	9	convolutional	convolutional	ADJ
cana-3962	70	10	neural	neural	ADJ
cana-3962	70	11	networks	network	NOUN
cana-3962	70	12	(	(	PUNCT
cana-3962	70	13	cnns	cnns	PROPN
cana-3962	70	14	)	)	PUNCT
cana-3962	70	15	like	like	ADP
cana-3962	70	16	inceptionv3	inceptionv3	NOUN
cana-3962	70	17	,	,	PUNCT
cana-3962	70	18	efficientnet	efficientnet	NOUN
cana-3962	70	19	,	,	PUNCT
cana-3962	70	20	and	and	CCONJ
cana-3962	70	21	vgg16	vgg16	NOUN
cana-3962	70	22	is	be	AUX
cana-3962	70	23	introduced	introduce	VERB
cana-3962	70	24	in	in	ADP
cana-3962	70	25	the	the	DET
cana-3962	70	26	paper	paper	NOUN
cana-3962	70	27	as	as	ADP
cana-3962	70	28	the	the	DET
cana-3962	70	29	squeeze	squeeze	NOUN
cana-3962	70	30	and	and	CCONJ
cana-3962	70	31	excitation	excitation	NOUN
cana-3962	70	32	network	network	NOUN
cana-3962	70	33	(	(	PUNCT
cana-3962	70	34	senet	senet	NOUN
cana-3962	70	35	)	)	PUNCT
cana-3962	71	1	[	[	X
cana-3962	71	2	[	[	X
cana-3962	71	3	10	10	NUM
cana-3962	71	4	]	]	X
cana-3962	71	5	]	]	PUNCT
cana-3962	71	6	.	.	PUNCT
cana-3962	72	1	by	by	ADP
cana-3962	72	2	strengthening	strengthen	VERB
cana-3962	72	3	the	the	DET
cana-3962	72	4	feature	feature	NOUN
cana-3962	72	5	extraction	extraction	NOUN
cana-3962	72	6	capabilities	capability	NOUN
cana-3962	72	7	and	and	CCONJ
cana-3962	72	8	concentrating	concentrate	VERB
cana-3962	72	9	on	on	ADP
cana-3962	72	10	pertinent	pertinent	ADJ
cana-3962	72	11	areas	area	NOUN
cana-3962	72	12	of	of	ADP
cana-3962	72	13	the	the	DET
cana-3962	72	14	image	image	NOUN
cana-3962	72	15	,	,	PUNCT
cana-3962	72	16	the	the	DET
cana-3962	72	17	model	model	NOUN
cana-3962	72	18	's	's	PART
cana-3962	72	19	performance	performance	NOUN
cana-3962	72	20	is	be	AUX
cana-3962	72	21	intended	intend	VERB
cana-3962	72	22	to	to	PART
cana-3962	72	23	be	be	AUX
cana-3962	72	24	improved	improve	VERB
cana-3962	72	25	.	.	PUNCT
cana-3962	73	1	this	this	DET
cana-3962	73	2	research	research	NOUN
cana-3962	73	3	is	be	AUX
cana-3962	73	4	the	the	DET
cana-3962	73	5	first	first	ADJ
cana-3962	73	6	to	to	PART
cana-3962	73	7	use	use	VERB
cana-3962	73	8	senet	senet	NOUN
cana-3962	73	9	for	for	ADP
cana-3962	73	10	the	the	DET
cana-3962	73	11	classification	classification	NOUN
cana-3962	73	12	of	of	ADP
cana-3962	73	13	monkeypox	monkeypox	NOUN
cana-3962	73	14	diseases	disease	NOUN
cana-3962	73	15	.	.	PUNCT
cana-3962	74	1	mondial	mondial	PROPN
cana-3962	74	2	-	-	PUNCT
cana-3962	74	3	cad	cad	PROPN
cana-3962	74	4	,	,	PUNCT
cana-3962	74	5	a	a	DET
cana-3962	74	6	computer	computer	NOUN
cana-3962	74	7	-	-	PUNCT
cana-3962	74	8	aided	aid	VERB
cana-3962	74	9	diagnostic	diagnostic	ADJ
cana-3962	74	10	(	(	PUNCT
cana-3962	74	11	cad	cad	NOUN
cana-3962	74	12	)	)	PUNCT
cana-3962	74	13	tool	tool	NOUN
cana-3962	74	14	intended	intend	VERB
cana-3962	74	15	to	to	PART
cana-3962	74	16	improve	improve	VERB
cana-3962	74	17	the	the	DET
cana-3962	74	18	speed	speed	NOUN
cana-3962	74	19	and	and	CCONJ
cana-3962	74	20	accuracy	accuracy	NOUN
cana-3962	74	21	of	of	ADP
cana-3962	74	22	monkeypox	monkeypox	PROPN
cana-3962	74	23	detection	detection	NOUN
cana-3962	74	24	,	,	PUNCT
cana-3962	74	25	is	be	AUX
cana-3962	74	26	introduced	introduce	VERB
cana-3962	74	27	in	in	ADP
cana-3962	74	28	this	this	DET
cana-3962	74	29	study	study	NOUN
cana-3962	74	30	[	[	X
cana-3962	74	31	[	[	X
cana-3962	74	32	11	11	NUM
cana-3962	74	33	]	]	SYM
cana-3962	74	34	]	]	PUNCT
cana-3962	74	35	.	.	PUNCT
cana-3962	75	1	the	the	DET
cana-3962	75	2	technique	technique	NOUN
cana-3962	75	3	leverages	leverage	VERB
cana-3962	75	4	several	several	ADJ
cana-3962	75	5	pre	pre	ADJ
cana-3962	75	6	-	-	ADJ
cana-3962	75	7	trained	train	VERB
cana-3962	75	8	cnns	cnn	NOUN
cana-3962	75	9	(	(	PUNCT
cana-3962	75	10	convolutional	convolutional	ADJ
cana-3962	75	11	neural	neural	ADJ
cana-3962	75	12	networks	network	NOUN
cana-3962	75	13	)	)	PUNCT
cana-3962	75	14	to	to	PART
cana-3962	75	15	enhance	enhance	VERB
cana-3962	75	16	classification	classification	NOUN
cana-3962	75	17	outcomes	outcome	NOUN
cana-3962	75	18	by	by	ADP
cana-3962	75	19	amalgamating	amalgamate	VERB
cana-3962	75	20	the	the	DET
cana-3962	75	21	advantages	advantage	NOUN
cana-3962	75	22	of	of	ADP
cana-3962	75	23	several	several	ADJ
cana-3962	75	24	cnn	cnn	NOUN
cana-3962	75	25	designs	design	NOUN
cana-3962	75	26	for	for	ADP
cana-3962	75	27	feature	feature	NOUN
cana-3962	75	28	extraction	extraction	NOUN
cana-3962	75	29	.	.	PUNCT
cana-3962	76	1	to	to	PART
cana-3962	76	2	find	find	VERB
cana-3962	76	3	the	the	DET
cana-3962	76	4	optimal	optimal	ADJ
cana-3962	76	5	mix	mix	NOUN
cana-3962	76	6	of	of	ADP
cana-3962	76	7	these	these	DET
cana-3962	76	8	deep	deep	ADJ
cana-3962	76	9	feature	feature	NOUN
cana-3962	76	10	sets	set	NOUN
cana-3962	76	11	,	,	PUNCT
cana-3962	76	12	mondial	mondial	ADJ
cana-3962	76	13	-	-	PUNCT
cana-3962	76	14	cad	cad	PROPN
cana-3962	76	15	pulls	pull	VERB
cana-3962	76	16	features	feature	NOUN
cana-3962	76	17	from	from	ADP
cana-3962	76	18	eight	eight	NUM
cana-3962	76	19	distinct	distinct	ADJ
cana-3962	76	20	cnn	cnn	NOUN
cana-3962	76	21	models	model	NOUN
cana-3962	76	22	(	(	PUNCT
cana-3962	76	23	such	such	ADJ
cana-3962	76	24	as	as	ADP
cana-3962	76	25	resnet-18	resnet-18	PROPN
cana-3962	76	26	,	,	PUNCT
cana-3962	76	27	mobilenet	mobilenet	NOUN
cana-3962	76	28	,	,	PUNCT
cana-3962	76	29	and	and	CCONJ
cana-3962	76	30	xception	xception	NUM
cana-3962	76	31	)	)	PUNCT
cana-3962	76	32	and	and	CCONJ
cana-3962	76	33	applies	apply	VERB
cana-3962	76	34	a	a	DET
cana-3962	76	35	forward	forward	ADJ
cana-3962	76	36	search	search	NOUN
cana-3962	76	37	technique	technique	NOUN
cana-3962	76	38	.	.	PUNCT
cana-3962	77	1	this	this	DET
cana-3962	77	2	technique	technique	NOUN
cana-3962	77	3	enhances	enhance	VERB
cana-3962	77	4	diagnosis	diagnosis	NOUN
cana-3962	77	5	accuracy	accuracy	NOUN
cana-3962	77	6	,	,	PUNCT
cana-3962	77	7	minimises	minimise	NOUN
cana-3962	77	8	feature	feature	VERB
cana-3962	77	9	space	space	NOUN
cana-3962	77	10	,	,	PUNCT
cana-3962	77	11	and	and	CCONJ
cana-3962	77	12	maximises	maximise	VERB
cana-3962	77	13	model	model	NOUN
cana-3962	77	14	performance	performance	NOUN
cana-3962	77	15	.	.	PUNCT
cana-3962	78	1	deep	deep	ADJ
cana-3962	78	2	features	feature	NOUN
cana-3962	78	3	are	be	AUX
cana-3962	78	4	fused	fuse	VERB
cana-3962	78	5	using	use	VERB
cana-3962	78	6	a	a	DET
cana-3962	78	7	dwt	dwt	NOUN
cana-3962	78	8	approach	approach	NOUN
cana-3962	78	9	,	,	PUNCT
cana-3962	78	10	which	which	PRON
cana-3962	78	11	reduces	reduce	VERB
cana-3962	78	12	their	their	PRON
cana-3962	78	13	size	size	NOUN
cana-3962	78	14	and	and	CCONJ
cana-3962	78	15	yields	yield	VERB
cana-3962	78	16	a	a	DET
cana-3962	78	17	spatial	spatial	ADJ
cana-3962	78	18	-	-	PUNCT
cana-3962	78	19	time	time	NOUN
cana-3962	78	20	-	-	PUNCT
cana-3962	78	21	frequency	frequency	NOUN
cana-3962	78	22	representation	representation	NOUN
cana-3962	78	23	.	.	PUNCT
cana-3962	79	1	the	the	DET
cana-3962	79	2	approach	approach	NOUN
cana-3962	79	3	reduces	reduce	VERB
cana-3962	79	4	the	the	DET
cana-3962	79	5	dimensions	dimension	NOUN
cana-3962	79	6	of	of	ADP
cana-3962	79	7	the	the	DET
cana-3962	79	8	fused	fuse	VERB
cana-3962	79	9	feature	feature	NOUN
cana-3962	79	10	set	set	VERB
cana-3962	79	11	by	by	ADP
cana-3962	79	12	applying	apply	VERB
cana-3962	79	13	an	an	DET
cana-3962	79	14	entropy	entropy	ADV
cana-3962	79	15	-	-	PUNCT
cana-3962	79	16	based	base	VERB
cana-3962	79	17	feature	feature	NOUN
cana-3962	79	18	selection	selection	NOUN
cana-3962	79	19	mechanism	mechanism	NOUN
cana-3962	79	20	after	after	SCONJ
cana-3962	79	21	the	the	DET
cana-3962	79	22	features	feature	NOUN
cana-3962	79	23	have	have	AUX
cana-3962	79	24	been	be	AUX
cana-3962	79	25	fused	fuse	VERB
cana-3962	79	26	.	.	PUNCT
cana-3962	80	1	using	use	VERB
cana-3962	80	2	fusion	fusion	NOUN
cana-3962	80	3	classifiers	classifier	NOUN
cana-3962	80	4	like	like	ADP
cana-3962	80	5	bagging	bagging	NOUN
cana-3962	80	6	,	,	PUNCT
cana-3962	80	7	rotation	rotation	NOUN
cana-3962	80	8	forest	forest	NOUN
cana-3962	80	9	,	,	PUNCT
cana-3962	80	10	and	and	CCONJ
cana-3962	80	11	random	random	ADJ
cana-3962	80	12	subspace	subspace	NOUN
cana-3962	80	13	,	,	PUNCT
cana-3962	80	14	the	the	DET
cana-3962	80	15	actual	actual	ADJ
cana-3962	80	16	classification	classification	NOUN
cana-3962	80	17	of	of	ADP
cana-3962	80	18	monkeypox	monkeypox	NOUN
cana-3962	80	19	against	against	ADP
cana-3962	80	20	other	other	ADJ
cana-3962	80	21	diseases	disease	NOUN
cana-3962	80	22	is	be	AUX
cana-3962	80	23	done	do	VERB
cana-3962	80	24	in	in	ADP
cana-3962	80	25	the	the	DET
cana-3962	80	26	last	last	ADJ
cana-3962	80	27	stage	stage	NOUN
cana-3962	80	28	.	.	PUNCT
cana-3962	81	1	using	use	VERB
cana-3962	81	2	the	the	DET
cana-3962	81	3	msid	msid	ADJ
cana-3962	81	4	dataset	dataset	NOUN
cana-3962	81	5	,	,	PUNCT
cana-3962	81	6	the	the	DET
cana-3962	81	7	mondial	mondial	PROPN
cana-3962	81	8	-	-	PUNCT
cana-3962	81	9	cad	cad	PROPN
cana-3962	81	10	achieves	achieve	VERB
cana-3962	81	11	97.1	97.1	NUM
cana-3962	81	12	%	%	NOUN
cana-3962	81	13	accuracy	accuracy	NOUN
cana-3962	81	14	,	,	PUNCT
cana-3962	81	15	while	while	SCONJ
cana-3962	81	16	using	use	VERB
cana-3962	81	17	the	the	DET
cana-3962	81	18	msld	msld	NOUN
cana-3962	81	19	dataset	dataset	NOUN
cana-3962	81	20	,	,	PUNCT
cana-3962	81	21	it	it	PRON
cana-3962	81	22	achieves	achieve	VERB
cana-3962	81	23	98.7	98.7	NUM
cana-3962	81	24	%	%	NOUN
cana-3962	81	25	communications	communication	NOUN
cana-3962	81	26	on	on	ADP
cana-3962	81	27	applied	apply	VERB
cana-3962	81	28	nonlinear	nonlinear	ADJ
cana-3962	81	29	analysis	analysis	NOUN
cana-3962	81	30	issn	issn	NOUN
cana-3962	81	31	:	:	PUNCT
cana-3962	81	32	1074	1074	NUM
cana-3962	81	33	-	-	PUNCT
cana-3962	81	34	133x	133x	NUM
cana-3962	81	35	vol	vol	NOUN
cana-3962	81	36	32	32	NUM
cana-3962	82	1	no	no	NOUN
cana-3962	82	2	.	.	PUNCT
cana-3962	83	1	9s	9s	NUM
cana-3962	83	2	(	(	PUNCT
cana-3962	83	3	2025	2025	NUM
cana-3962	83	4	)	)	PUNCT
cana-3962	83	5	530	530	NUM
cana-3962	83	6	https://internationalpubls.com	https://internationalpubls.com	NOUN
cana-3962	83	7	accuracy	accuracy	NOUN
cana-3962	83	8	.	.	PUNCT
cana-3962	84	1	uysal	uysal	PROPN
cana-3962	84	2	f.	f.	PROPN
cana-3962	84	3	developed	develop	VERB
cana-3962	84	4	a	a	DET
cana-3962	84	5	hybrid	hybrid	ADJ
cana-3962	84	6	deep	deep	ADJ
cana-3962	84	7	learning	learning	NOUN
cana-3962	84	8	model	model	NOUN
cana-3962	84	9	that	that	PRON
cana-3962	84	10	combines	combine	VERB
cana-3962	84	11	long	long	ADJ
cana-3962	84	12	short	short	ADJ
cana-3962	84	13	-	-	PUNCT
cana-3962	84	14	term	term	NOUN
cana-3962	84	15	memory	memory	NOUN
cana-3962	84	16	(	(	PUNCT
cana-3962	84	17	lstm	lstm	NOUN
cana-3962	84	18	)	)	PUNCT
cana-3962	84	19	networks	network	NOUN
cana-3962	84	20	and	and	CCONJ
cana-3962	84	21	convolutional	convolutional	ADJ
cana-3962	84	22	neural	neural	ADJ
cana-3962	84	23	networks	network	NOUN
cana-3962	84	24	(	(	PUNCT
cana-3962	84	25	cnns	cnns	PROPN
cana-3962	84	26	)	)	PUNCT
cana-3962	84	27	for	for	ADP
cana-3962	84	28	the	the	DET
cana-3962	84	29	purpose	purpose	NOUN
cana-3962	84	30	of	of	ADP
cana-3962	84	31	classifying	classify	VERB
cana-3962	84	32	skin	skin	NOUN
cana-3962	84	33	disease	disease	NOUN
cana-3962	84	34	images	image	NOUN
cana-3962	84	35	,	,	PUNCT
cana-3962	84	36	with	with	ADP
cana-3962	84	37	a	a	DET
cana-3962	84	38	particular	particular	ADJ
cana-3962	84	39	emphasis	emphasis	NOUN
cana-3962	84	40	on	on	ADP
cana-3962	84	41	monkeypox	monkeypox	PROPN
cana-3962	84	42	detection	detection	NOUN
cana-3962	84	43	.	.	PUNCT
cana-3962	85	1	initially	initially	ADV
cana-3962	85	2	,	,	PUNCT
cana-3962	85	3	seven	seven	NUM
cana-3962	85	4	models	model	NOUN
cana-3962	85	5	were	be	AUX
cana-3962	85	6	trained	train	VERB
cana-3962	85	7	independently	independently	ADV
cana-3962	85	8	:	:	PUNCT
cana-3962	85	9	cspdarknet	cspdarknet	NOUN
cana-3962	85	10	,	,	PUNCT
cana-3962	85	11	inceptionv4	inceptionv4	PROPN
cana-3962	85	12	,	,	PUNCT
cana-3962	85	13	mnasnet	mnasnet	NOUN
cana-3962	85	14	,	,	PUNCT
cana-3962	85	15	mobilenetv3	mobilenetv3	PROPN
cana-3962	85	16	,	,	PUNCT
cana-3962	85	17	repvgg	repvgg	NOUN
cana-3962	85	18	,	,	PUNCT
cana-3962	85	19	se	se	NOUN
cana-3962	85	20	-	-	NOUN
cana-3962	85	21	resnet	resnet	ADJ
cana-3962	85	22	,	,	PUNCT
cana-3962	85	23	and	and	CCONJ
cana-3962	85	24	xception	xception	NOUN
cana-3962	85	25	.	.	PUNCT
cana-3962	86	1	with	with	ADP
cana-3962	86	2	respect	respect	NOUN
cana-3962	86	3	to	to	ADP
cana-3962	86	4	performance	performance	NOUN
cana-3962	86	5	,	,	PUNCT
cana-3962	86	6	repvgg	repvgg	NOUN
cana-3962	86	7	and	and	CCONJ
cana-3962	86	8	mnasnet	mnasnet	NOUN
cana-3962	86	9	performed	perform	VERB
cana-3962	86	10	best	well	ADV
cana-3962	86	11	.	.	PUNCT
cana-3962	87	1	a	a	DET
cana-3962	87	2	test	test	NOUN
cana-3962	87	3	accuracy	accuracy	NOUN
cana-3962	87	4	of	of	ADP
cana-3962	87	5	87	87	NUM
cana-3962	87	6	%	%	NOUN
cana-3962	87	7	and	and	CCONJ
cana-3962	87	8	a	a	DET
cana-3962	87	9	cohen	cohen	NOUN
cana-3962	87	10	's	's	PART
cana-3962	87	11	kappa	kappa	ADJ
cana-3962	87	12	score	score	NOUN
cana-3962	87	13	of	of	ADP
cana-3962	87	14	0.8222	0.8222	NUM
cana-3962	87	15	were	be	AUX
cana-3962	87	16	obtained	obtain	VERB
cana-3962	87	17	by	by	ADP
cana-3962	87	18	combining	combine	VERB
cana-3962	87	19	the	the	DET
cana-3962	87	20	two	two	NUM
cana-3962	87	21	top	top	ADJ
cana-3962	87	22	cnn	cnn	PROPN
cana-3962	87	23	models	model	NOUN
cana-3962	87	24	(	(	PUNCT
cana-3962	87	25	repvgg	repvgg	NOUN
cana-3962	87	26	,	,	PUNCT
cana-3962	87	27	mnasnet	mnasnet	NOUN
cana-3962	87	28	)	)	PUNCT
cana-3962	87	29	with	with	ADP
cana-3962	87	30	an	an	DET
cana-3962	87	31	lstm	lstm	ADJ
cana-3962	87	32	model	model	NOUN
cana-3962	87	33	,	,	PUNCT
cana-3962	87	34	indicating	indicate	VERB
cana-3962	87	35	increased	increase	VERB
cana-3962	87	36	performance	performance	NOUN
cana-3962	87	37	.	.	PUNCT
cana-3962	88	1	in	in	ADP
cana-3962	88	2	terms	term	NOUN
cana-3962	88	3	of	of	ADP
cana-3962	88	4	accuracy	accuracy	NOUN
cana-3962	88	5	,	,	PUNCT
cana-3962	88	6	precision	precision	NOUN
cana-3962	88	7	,	,	PUNCT
cana-3962	88	8	and	and	CCONJ
cana-3962	88	9	recall	recall	NOUN
cana-3962	88	10	,	,	PUNCT
cana-3962	88	11	the	the	DET
cana-3962	88	12	hybrid	hybrid	ADJ
cana-3962	88	13	deep	deep	ADJ
cana-3962	88	14	learning	learning	NOUN
cana-3962	88	15	model	model	NOUN
cana-3962	88	16	performed	perform	VERB
cana-3962	88	17	better	well	ADV
cana-3962	88	18	than	than	ADP
cana-3962	88	19	the	the	DET
cana-3962	88	20	individual	individual	ADJ
cana-3962	88	21	models	model	NOUN
cana-3962	88	22	,	,	PUNCT
cana-3962	88	23	indicating	indicate	VERB
cana-3962	88	24	the	the	DET
cana-3962	88	25	importance	importance	NOUN
cana-3962	88	26	of	of	ADP
cana-3962	88	27	integrating	integrate	VERB
cana-3962	88	28	cnn	cnn	PROPN
cana-3962	88	29	and	and	CCONJ
cana-3962	88	30	lstm	lstm	NOUN
cana-3962	88	31	for	for	ADP
cana-3962	88	32	image	image	NOUN
cana-3962	88	33	classification	classification	NOUN
cana-3962	88	34	[	[	X
cana-3962	88	35	[	[	X
cana-3962	88	36	12	12	NUM
cana-3962	88	37	]	]	X
cana-3962	88	38	]	]	PUNCT
cana-3962	88	39	.	.	PUNCT
cana-3962	89	1	by	by	ADP
cana-3962	89	2	combining	combine	VERB
cana-3962	89	3	cnn	cnn	PROPN
cana-3962	89	4	(	(	PUNCT
cana-3962	89	5	convolutional	convolutional	ADJ
cana-3962	89	6	neural	neural	ADJ
cana-3962	89	7	network	network	NOUN
cana-3962	89	8	)	)	PUNCT
cana-3962	89	9	and	and	CCONJ
cana-3962	89	10	vision	vision	NOUN
cana-3962	89	11	transformer	transformer	NOUN
cana-3962	89	12	models	model	NOUN
cana-3962	89	13	to	to	PART
cana-3962	89	14	create	create	VERB
cana-3962	89	15	dan	dan	PROPN
cana-3962	89	16	automated	automate	VERB
cana-3962	89	17	classification	classification	NOUN
cana-3962	89	18	system	system	NOUN
cana-3962	89	19	,	,	PUNCT
cana-3962	89	20	the	the	DET
cana-3962	89	21	study	study	NOUN
cana-3962	89	22	tackles	tackle	VERB
cana-3962	89	23	the	the	DET
cana-3962	89	24	rising	rise	VERB
cana-3962	89	25	problem	problem	NOUN
cana-3962	89	26	of	of	ADP
cana-3962	89	27	diagnosing	diagnose	VERB
cana-3962	89	28	skin	skin	NOUN
cana-3962	89	29	diseases	disease	NOUN
cana-3962	89	30	,	,	PUNCT
cana-3962	89	31	especially	especially	ADV
cana-3962	89	32	monkeypox	monkeypox	NOUN
cana-3962	89	33	and	and	CCONJ
cana-3962	89	34	other	other	ADJ
cana-3962	89	35	lesions	lesion	NOUN
cana-3962	89	36	[	[	X
cana-3962	89	37	[	[	X
cana-3962	89	38	13	13	NUM
cana-3962	89	39	]	]	SYM
cana-3962	89	40	]	]	PUNCT
cana-3962	89	41	.	.	PUNCT
cana-3962	90	1	it	it	PRON
cana-3962	90	2	aims	aim	VERB
cana-3962	90	3	to	to	PART
cana-3962	90	4	offer	offer	VERB
cana-3962	90	5	dermatologists	dermatologist	NOUN
cana-3962	90	6	rapid	rapid	ADJ
cana-3962	90	7	,	,	PUNCT
cana-3962	90	8	accurate	accurate	ADJ
cana-3962	90	9	,	,	PUNCT
cana-3962	90	10	and	and	CCONJ
cana-3962	90	11	non	non	ADJ
cana-3962	90	12	-	-	ADJ
cana-3962	90	13	invasive	invasive	ADJ
cana-3962	90	14	methods	method	NOUN
cana-3962	90	15	of	of	ADP
cana-3962	90	16	diagnosis	diagnosis	NOUN
cana-3962	90	17	to	to	PART
cana-3962	90	18	help	help	VERB
cana-3962	90	19	them	they	PRON
cana-3962	90	20	classify	classify	VERB
cana-3962	90	21	different	different	ADJ
cana-3962	90	22	types	type	NOUN
cana-3962	90	23	of	of	ADP
cana-3962	90	24	skin	skin	NOUN
cana-3962	90	25	lesions	lesion	NOUN
cana-3962	90	26	.	.	PUNCT
cana-3962	91	1	additionally	additionally	ADV
cana-3962	91	2	,	,	PUNCT
cana-3962	91	3	the	the	DET
cana-3962	91	4	study	study	NOUN
cana-3962	91	5	used	use	VERB
cana-3962	91	6	fusion	fusion	NOUN
cana-3962	91	7	learning	learning	NOUN
cana-3962	91	8	and	and	CCONJ
cana-3962	91	9	cnn	cnn	NOUN
cana-3962	91	10	models	model	NOUN
cana-3962	91	11	(	(	PUNCT
cana-3962	91	12	such	such	ADJ
cana-3962	91	13	as	as	ADP
cana-3962	91	14	densenet201	densenet201	PROPN
cana-3962	91	15	)	)	PUNCT
cana-3962	91	16	to	to	PART
cana-3962	91	17	improve	improve	VERB
cana-3962	91	18	performance	performance	NOUN
cana-3962	91	19	by	by	ADP
cana-3962	91	20	combining	combine	VERB
cana-3962	91	21	the	the	DET
cana-3962	91	22	advantages	advantage	NOUN
cana-3962	91	23	of	of	ADP
cana-3962	91	24	various	various	ADJ
cana-3962	91	25	models	model	NOUN
cana-3962	91	26	(	(	PUNCT
cana-3962	91	27	cnn	cnn	NOUN
cana-3962	91	28	and	and	CCONJ
cana-3962	91	29	vision	vision	NOUN
cana-3962	91	30	transformer	transformer	NOUN
cana-3962	91	31	)	)	PUNCT
cana-3962	91	32	.	.	PUNCT
cana-3962	92	1	the	the	DET
cana-3962	92	2	final	final	ADJ
cana-3962	92	3	fusion	fusion	NOUN
cana-3962	92	4	model	model	NOUN
cana-3962	92	5	performed	perform	VERB
cana-3962	92	6	well	well	ADV
cana-3962	92	7	in	in	ADP
cana-3962	92	8	terms	term	NOUN
cana-3962	92	9	of	of	ADP
cana-3962	92	10	precision	precision	NOUN
cana-3962	92	11	,	,	PUNCT
cana-3962	92	12	recall	recall	NOUN
cana-3962	92	13	,	,	PUNCT
cana-3962	92	14	f1	f1	NOUN
cana-3962	92	15	-	-	PUNCT
cana-3962	92	16	score	score	NOUN
cana-3962	92	17	,	,	PUNCT
cana-3962	92	18	and	and	CCONJ
cana-3962	92	19	jaccard	jaccard	ADJ
cana-3962	92	20	metrics	metric	NOUN
cana-3962	92	21	,	,	PUNCT
cana-3962	92	22	with	with	ADP
cana-3962	92	23	an	an	DET
cana-3962	92	24	accuracy	accuracy	NOUN
cana-3962	92	25	of	of	ADP
cana-3962	92	26	81.91	81.91	NUM
cana-3962	92	27	%	%	NOUN
cana-3962	92	28	.	.	PUNCT
cana-3962	93	1	merely	merely	ADV
cana-3962	93	2	applying	apply	VERB
cana-3962	93	3	the	the	DET
cana-3962	93	4	vision	vision	NOUN
cana-3962	93	5	transformer	transformer	NOUN
cana-3962	93	6	,	,	PUNCT
cana-3962	93	7	80.66	80.66	NUM
cana-3962	93	8	%	%	NOUN
cana-3962	93	9	accuracy	accuracy	NOUN
cana-3962	93	10	was	be	AUX
cana-3962	93	11	attained	attain	VERB
cana-3962	93	12	.	.	PUNCT
cana-3962	94	1	the	the	DET
cana-3962	94	2	system	system	NOUN
cana-3962	94	3	's	's	PART
cana-3962	94	4	performance	performance	NOUN
cana-3962	94	5	was	be	AUX
cana-3962	94	6	further	far	ADV
cana-3962	94	7	enhanced	enhance	VERB
cana-3962	94	8	by	by	ADP
cana-3962	94	9	fusion	fusion	NOUN
cana-3962	94	10	learning	learning	NOUN
cana-3962	94	11	with	with	ADP
cana-3962	94	12	the	the	DET
cana-3962	94	13	bagging	bagging	NOUN
cana-3962	94	14	technique	technique	NOUN
cana-3962	94	15	,	,	PUNCT
cana-3962	94	16	demonstrating	demonstrate	VERB
cana-3962	94	17	the	the	DET
cana-3962	94	18	combined	combine	VERB
cana-3962	94	19	strengths	strength	NOUN
cana-3962	94	20	of	of	ADP
cana-3962	94	21	the	the	DET
cana-3962	94	22	cnn	cnn	PROPN
cana-3962	94	23	and	and	CCONJ
cana-3962	94	24	vision	vision	NOUN
cana-3962	94	25	transformer	transformer	NOUN
cana-3962	94	26	models	model	NOUN
cana-3962	94	27	.	.	PUNCT
cana-3962	95	1	3	3	X
cana-3962	95	2	.	.	X
cana-3962	95	3	methods	method	NOUN
cana-3962	95	4	this	this	DET
cana-3962	95	5	section	section	NOUN
cana-3962	95	6	is	be	AUX
cana-3962	95	7	divided	divide	VERB
cana-3962	95	8	into	into	ADP
cana-3962	95	9	5	5	NUM
cana-3962	95	10	parts	part	NOUN
cana-3962	95	11	:	:	PUNCT
cana-3962	95	12	data	datum	NOUN
cana-3962	95	13	collection	collection	NOUN
cana-3962	95	14	,	,	PUNCT
cana-3962	95	15	deep	deep	ADJ
cana-3962	95	16	learning	learning	NOUN
cana-3962	95	17	models	model	NOUN
cana-3962	95	18	used	use	VERB
cana-3962	95	19	and	and	CCONJ
cana-3962	95	20	selection	selection	NOUN
cana-3962	95	21	of	of	ADP
cana-3962	95	22	best	good	ADJ
cana-3962	95	23	model	model	NOUN
cana-3962	95	24	,	,	PUNCT
cana-3962	95	25	feature	feature	NOUN
cana-3962	95	26	fusion	fusion	NOUN
cana-3962	95	27	techniques	technique	NOUN
cana-3962	95	28	with	with	ADP
cana-3962	95	29	advantages	advantage	NOUN
cana-3962	95	30	and	and	CCONJ
cana-3962	95	31	disadvantages	disadvantage	NOUN
cana-3962	95	32	of	of	ADP
cana-3962	95	33	each	each	DET
cana-3962	95	34	technique	technique	NOUN
cana-3962	95	35	,	,	PUNCT
cana-3962	95	36	the	the	DET
cana-3962	95	37	proposed	propose	VERB
cana-3962	95	38	method	method	NOUN
cana-3962	95	39	and	and	CCONJ
cana-3962	95	40	the	the	DET
cana-3962	95	41	evaluation	evaluation	NOUN
cana-3962	95	42	parameters	parameter	NOUN
cana-3962	95	43	used	use	VERB
cana-3962	95	44	to	to	PART
cana-3962	95	45	predict	predict	VERB
cana-3962	95	46	and	and	CCONJ
cana-3962	95	47	classify	classify	VERB
cana-3962	95	48	monkeypox	monkeypox	NOUN
cana-3962	95	49	disease	disease	NOUN
cana-3962	95	50	.	.	PUNCT
cana-3962	96	1	3.1	3.1	NUM
cana-3962	96	2	dataset	dataset	VERB
cana-3962	96	3	two	two	NUM
cana-3962	96	4	publicly	publicly	ADV
cana-3962	96	5	available	available	ADJ
cana-3962	96	6	datasets	dataset	NOUN
cana-3962	96	7	namely	namely	ADV
cana-3962	96	8	,	,	PUNCT
cana-3962	96	9	msid	msid	ADJ
cana-3962	96	10	and	and	CCONJ
cana-3962	96	11	msld	msld	NOUN
cana-3962	96	12	have	have	AUX
cana-3962	96	13	been	be	AUX
cana-3962	96	14	used	use	VERB
cana-3962	96	15	in	in	ADP
cana-3962	96	16	this	this	DET
cana-3962	96	17	study	study	NOUN
cana-3962	96	18	[	[	X
cana-3962	96	19	[	[	X
cana-3962	96	20	22	22	NUM
cana-3962	96	21	]	]	X
cana-3962	96	22	]	]	PUNCT
cana-3962	96	23	.	.	PUNCT
cana-3962	97	1	the	the	DET
cana-3962	97	2	dataset	dataset	ADJ
cana-3962	97	3	summary	summary	NOUN
cana-3962	97	4	is	be	AUX
cana-3962	97	5	shown	show	VERB
cana-3962	97	6	in	in	ADP
cana-3962	97	7	table	table	NOUN
cana-3962	97	8	i.	i.	NOUN
cana-3962	97	9	in	in	ADP
cana-3962	97	10	msid	msid	NOUN
cana-3962	97	11	dataset	dataset	VERB
cana-3962	97	12	two	two	NUM
cana-3962	97	13	categories	category	NOUN
cana-3962	97	14	are	be	AUX
cana-3962	97	15	utilized	utilize	VERB
cana-3962	97	16	i.e.	i.e.	X
cana-3962	97	17	“	"	PUNCT
cana-3962	97	18	monkeypox	monkeypox	NOUN
cana-3962	97	19	”	"	PUNCT
cana-3962	97	20	and	and	CCONJ
cana-3962	97	21	“	"	PUNCT
cana-3962	97	22	chickenpox	chickenpox	ADJ
cana-3962	97	23	+	+	CCONJ
cana-3962	97	24	measles	measle	NOUN
cana-3962	97	25	”	"	PUNCT
cana-3962	97	26	combined	combine	VERB
cana-3962	97	27	which	which	PRON
cana-3962	97	28	act	act	VERB
cana-3962	97	29	as	as	ADP
cana-3962	97	30	normal	normal	ADJ
cana-3962	97	31	class	class	NOUN
cana-3962	97	32	.	.	PUNCT
cana-3962	98	1	in	in	ADP
cana-3962	98	2	msld	msld	NOUN
cana-3962	98	3	two	two	NUM
cana-3962	98	4	categories	category	NOUN
cana-3962	98	5	are	be	AUX
cana-3962	98	6	“	"	PUNCT
cana-3962	98	7	monkeypox	monkeypox	NOUN
cana-3962	98	8	”	"	PUNCT
cana-3962	98	9	and	and	CCONJ
cana-3962	98	10	“	"	PUNCT
cana-3962	98	11	normal	normal	ADJ
cana-3962	98	12	”	"	PUNCT
cana-3962	98	13	.	.	PUNCT
cana-3962	99	1	the	the	DET
cana-3962	99	2	images	image	NOUN
cana-3962	99	3	in	in	ADP
cana-3962	99	4	the	the	DET
cana-3962	99	5	datasets	dataset	NOUN
cana-3962	99	6	are	be	AUX
cana-3962	99	7	of	of	ADP
cana-3962	99	8	224x224x3	224x224x3	NUM
cana-3962	99	9	size	size	NOUN
cana-3962	99	10	.	.	PUNCT
cana-3962	100	1	some	some	DET
cana-3962	100	2	sample	sample	NOUN
cana-3962	100	3	images	image	NOUN
cana-3962	100	4	are	be	AUX
cana-3962	100	5	shown	show	VERB
cana-3962	100	6	in	in	ADP
cana-3962	100	7	figure	figure	NOUN
cana-3962	100	8	1	1	NUM
cana-3962	100	9	.	.	PUNCT
cana-3962	101	1	the	the	DET
cana-3962	101	2	dataset	dataset	NOUN
cana-3962	101	3	size	size	NOUN
cana-3962	101	4	was	be	AUX
cana-3962	101	5	increased	increase	VERB
cana-3962	101	6	using	use	VERB
cana-3962	101	7	data	datum	NOUN
cana-3962	101	8	augmentation	augmentation	NOUN
cana-3962	101	9	techniques	technique	NOUN
cana-3962	101	10	such	such	ADJ
cana-3962	101	11	as	as	ADP
cana-3962	101	12	shear	shear	NOUN
cana-3962	101	13	,	,	PUNCT
cana-3962	101	14	rotation	rotation	NOUN
cana-3962	101	15	,	,	PUNCT
cana-3962	101	16	and	and	CCONJ
cana-3962	101	17	scaling	scaling	NOUN
cana-3962	101	18	.	.	PUNCT
cana-3962	102	1	figure	figure	NOUN
cana-3962	102	2	1	1	NUM
cana-3962	102	3	.	.	PUNCT
cana-3962	103	1	sample	sample	NOUN
cana-3962	103	2	images	image	NOUN
cana-3962	103	3	of	of	ADP
cana-3962	103	4	monkeypox	monkeypox	NOUN
cana-3962	103	5	from	from	ADP
cana-3962	103	6	datasets	dataset	NOUN
cana-3962	103	7	used	use	VERB
cana-3962	103	8	in	in	ADP
cana-3962	103	9	this	this	DET
cana-3962	103	10	study	study	NOUN
cana-3962	103	11	.	.	PUNCT
cana-3962	104	1	communications	communication	NOUN
cana-3962	104	2	on	on	ADP
cana-3962	104	3	applied	apply	VERB
cana-3962	104	4	nonlinear	nonlinear	ADJ
cana-3962	104	5	analysis	analysis	NOUN
cana-3962	104	6	issn	issn	NOUN
cana-3962	104	7	:	:	PUNCT
cana-3962	104	8	1074	1074	NUM
cana-3962	104	9	-	-	PUNCT
cana-3962	104	10	133x	133x	NUM
cana-3962	104	11	vol	vol	NOUN
cana-3962	104	12	32	32	NUM
cana-3962	104	13	no	no	NOUN
cana-3962	104	14	.	.	PUNCT
cana-3962	105	1	9s	9s	NUM
cana-3962	105	2	(	(	PUNCT
cana-3962	105	3	2025	2025	NUM
cana-3962	105	4	)	)	PUNCT
cana-3962	105	5	531	531	NUM
cana-3962	105	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3962	105	7	table	table	NOUN
cana-3962	105	8	i.	i.	NOUN
cana-3962	105	9	dataset	dataset	VERB
cana-3962	105	10	distribution	distribution	NOUN
cana-3962	105	11	dataset	dataset	NOUN
cana-3962	105	12	label	label	NOUN
cana-3962	105	13	train	train	NOUN
cana-3962	105	14	test	test	NOUN
cana-3962	105	15	validate	validate	VERB
cana-3962	105	16	total	total	ADJ
cana-3962	105	17	msid[[15	msid[[15	PROPN
cana-3962	105	18	]	]	X
cana-3962	105	19	]	]	X
cana-3962	105	20	monkeypox	monkeypox	NOUN
cana-3962	105	21	223	223	NUM
cana-3962	105	22	56	56	NUM
cana-3962	105	23	0	0	NUM
cana-3962	105	24	279	279	NUM
cana-3962	105	25	chickenpox	chickenpox	NOUN
cana-3962	105	26	+	+	CCONJ
cana-3962	105	27	measles	measle	NOUN
cana-3962	105	28	158	158	NUM
cana-3962	105	29	40	40	NUM
cana-3962	105	30	0	0	NUM
cana-3962	105	31	198	198	NUM
cana-3962	105	32	total	total	NOUN
cana-3962	105	33	381	381	NUM
cana-3962	105	34	96	96	NUM
cana-3962	105	35	0	0	NUM
cana-3962	105	36	469	469	NUM
cana-3962	105	37	msld[[16	msld[[16	PROPN
cana-3962	105	38	]	]	X
cana-3962	105	39	]	]	X
cana-3962	105	40	monkeypox	monkeypox	NOUN
cana-3962	105	41	980	980	NUM
cana-3962	105	42	20	20	NUM
cana-3962	105	43	168	168	NUM
cana-3962	105	44	1168	1168	NUM
cana-3962	105	45	normal	normal	ADJ
cana-3962	105	46	1162	1162	NUM
cana-3962	105	47	25	25	NUM
cana-3962	105	48	252	252	NUM
cana-3962	105	49	1439	1439	NUM
cana-3962	105	50	total	total	ADJ
cana-3962	105	51	2142	2142	NUM
cana-3962	105	52	45	45	NUM
cana-3962	105	53	420	420	NUM
cana-3962	105	54	2607	2607	NUM
cana-3962	105	55	3.2	3.2	NUM
cana-3962	105	56	deep	deep	ADJ
cana-3962	105	57	learning	learning	NOUN
cana-3962	105	58	models	model	NOUN
cana-3962	105	59	for	for	ADP
cana-3962	105	60	feature	feature	NOUN
cana-3962	105	61	extraction	extraction	NOUN
cana-3962	105	62	two	two	NUM
cana-3962	105	63	best	well	ADV
cana-3962	105	64	-	-	PUNCT
cana-3962	105	65	performing	perform	VERB
cana-3962	105	66	models	model	NOUN
cana-3962	105	67	among	among	ADP
cana-3962	105	68	five	five	NUM
cana-3962	105	69	deep	deep	ADJ
cana-3962	105	70	learning	learning	NOUN
cana-3962	105	71	models	model	NOUN
cana-3962	105	72	have	have	AUX
cana-3962	105	73	been	be	AUX
cana-3962	105	74	chosen	choose	VERB
cana-3962	105	75	for	for	ADP
cana-3962	105	76	feature	feature	NOUN
cana-3962	105	77	extraction	extraction	NOUN
cana-3962	105	78	.	.	PUNCT
cana-3962	106	1	the	the	DET
cana-3962	106	2	models	model	NOUN
cana-3962	106	3	applied	apply	VERB
cana-3962	106	4	to	to	ADP
cana-3962	106	5	each	each	DET
cana-3962	106	6	dataset	dataset	NOUN
cana-3962	106	7	separately	separately	ADV
cana-3962	106	8	are	be	AUX
cana-3962	106	9	resnet50	resnet50	NOUN
cana-3962	106	10	,	,	PUNCT
cana-3962	106	11	vgg16	vgg16	PROPN
cana-3962	106	12	,	,	PUNCT
cana-3962	106	13	densenet121	densenet121	PROPN
cana-3962	106	14	,	,	PUNCT
cana-3962	106	15	mobilenetv2	mobilenetv2	NOUN
cana-3962	106	16	,	,	PUNCT
cana-3962	106	17	and	and	CCONJ
cana-3962	106	18	inceptionv3	inceptionv3	NOUN
cana-3962	106	19	.	.	PUNCT
cana-3962	107	1	out	out	ADP
cana-3962	107	2	of	of	ADP
cana-3962	107	3	these	these	DET
cana-3962	107	4	models	model	NOUN
cana-3962	107	5	,	,	PUNCT
cana-3962	107	6	densenet121	densenet121	PROPN
cana-3962	107	7	and	and	CCONJ
cana-3962	107	8	mobilenetv2	mobilenetv2	PROPN
cana-3962	107	9	performed	perform	VERB
cana-3962	107	10	well	well	ADV
cana-3962	107	11	on	on	ADP
cana-3962	107	12	msld	msld	NOUN
cana-3962	107	13	and	and	CCONJ
cana-3962	107	14	msid	msid	NOUN
cana-3962	107	15	,	,	PUNCT
cana-3962	107	16	respectively	respectively	ADV
cana-3962	107	17	,	,	PUNCT
cana-3962	107	18	in	in	ADP
cana-3962	107	19	terms	term	NOUN
cana-3962	107	20	of	of	ADP
cana-3962	107	21	accuracy	accuracy	NOUN
cana-3962	107	22	.	.	PUNCT
cana-3962	108	1	hence	hence	ADV
cana-3962	108	2	,	,	PUNCT
cana-3962	108	3	we	we	PRON
cana-3962	108	4	utilized	utilize	VERB
cana-3962	108	5	the	the	DET
cana-3962	108	6	advantages	advantage	NOUN
cana-3962	108	7	of	of	ADP
cana-3962	108	8	these	these	DET
cana-3962	108	9	two	two	NUM
cana-3962	108	10	commonly	commonly	ADV
cana-3962	108	11	known	know	VERB
cana-3962	108	12	transfer	transfer	NOUN
cana-3962	108	13	deep	deep	ADJ
cana-3962	108	14	learning	learning	NOUN
cana-3962	108	15	models	model	NOUN
cana-3962	108	16	for	for	ADP
cana-3962	108	17	performing	perform	VERB
cana-3962	108	18	feature	feature	NOUN
cana-3962	108	19	extraction	extraction	NOUN
cana-3962	108	20	.	.	PUNCT
cana-3962	109	1	the	the	DET
cana-3962	109	2	feature	feature	NOUN
cana-3962	109	3	extraction	extraction	NOUN
cana-3962	109	4	task	task	NOUN
cana-3962	109	5	is	be	AUX
cana-3962	109	6	performed	perform	VERB
cana-3962	109	7	individually	individually	ADV
cana-3962	109	8	by	by	ADP
cana-3962	109	9	pre	pre	ADJ
cana-3962	109	10	-	-	ADJ
cana-3962	109	11	trained	train	VERB
cana-3962	109	12	models	model	NOUN
cana-3962	109	13	.	.	PUNCT
cana-3962	110	1	the	the	DET
cana-3962	110	2	extracted	extract	VERB
cana-3962	110	3	features	feature	NOUN
cana-3962	110	4	from	from	ADP
cana-3962	110	5	both	both	DET
cana-3962	110	6	models	model	NOUN
cana-3962	110	7	are	be	AUX
cana-3962	110	8	then	then	ADV
cana-3962	110	9	combined	combine	VERB
cana-3962	110	10	using	use	VERB
cana-3962	110	11	several	several	ADJ
cana-3962	110	12	fusion	fusion	NOUN
cana-3962	110	13	techniques	technique	NOUN
cana-3962	110	14	for	for	ADP
cana-3962	110	15	the	the	DET
cana-3962	110	16	further	further	ADJ
cana-3962	110	17	classification	classification	NOUN
cana-3962	110	18	process	process	NOUN
cana-3962	110	19	.	.	PUNCT
cana-3962	111	1	densenet121	densenet121	PROPN
cana-3962	111	2	architecture	architecture	NOUN
cana-3962	111	3	:	:	PUNCT
cana-3962	111	4	densenet121	densenet121	PROPN
cana-3962	111	5	is	be	AUX
cana-3962	111	6	a	a	DET
cana-3962	111	7	deep	deep	ADJ
cana-3962	111	8	learning	learning	NOUN
cana-3962	111	9	model	model	NOUN
cana-3962	111	10	designed	design	VERB
cana-3962	111	11	to	to	PART
cana-3962	111	12	enhance	enhance	VERB
cana-3962	111	13	feature	feature	NOUN
cana-3962	111	14	propagation	propagation	NOUN
cana-3962	111	15	and	and	CCONJ
cana-3962	111	16	reuse	reuse	NOUN
cana-3962	111	17	by	by	ADP
cana-3962	111	18	connecting	connect	VERB
cana-3962	111	19	each	each	DET
cana-3962	111	20	layer	layer	NOUN
cana-3962	111	21	to	to	ADP
cana-3962	111	22	every	every	DET
cana-3962	111	23	other	other	ADJ
cana-3962	111	24	layer	layer	NOUN
cana-3962	111	25	within	within	ADP
cana-3962	111	26	a	a	DET
cana-3962	111	27	dense	dense	ADJ
cana-3962	111	28	block	block	NOUN
cana-3962	111	29	[	[	X
cana-3962	111	30	[	[	X
cana-3962	111	31	24	24	NUM
cana-3962	111	32	]	]	X
cana-3962	111	33	]	]	PUNCT
cana-3962	111	34	.	.	PUNCT
cana-3962	112	1	densenet121	densenet121	PROPN
cana-3962	112	2	is	be	AUX
cana-3962	112	3	composed	compose	VERB
cana-3962	112	4	of	of	ADP
cana-3962	112	5	four	four	NUM
cana-3962	112	6	dense	dense	ADJ
cana-3962	112	7	blocks	block	NOUN
cana-3962	112	8	with	with	ADP
cana-3962	112	9	transition	transition	NOUN
cana-3962	112	10	layers	layer	NOUN
cana-3962	112	11	in	in	ADP
cana-3962	112	12	between	between	ADP
cana-3962	112	13	as	as	SCONJ
cana-3962	112	14	shown	show	VERB
cana-3962	112	15	in	in	ADP
cana-3962	112	16	table	table	NOUN
cana-3962	112	17	ii	ii	PROPN
cana-3962	112	18	.	.	PUNCT
cana-3962	113	1	below	below	ADV
cana-3962	113	2	is	be	AUX
cana-3962	113	3	an	an	DET
cana-3962	113	4	overview	overview	NOUN
cana-3962	113	5	of	of	ADP
cana-3962	113	6	its	its	PRON
cana-3962	113	7	architecture	architecture	NOUN
cana-3962	113	8	:	:	PUNCT
cana-3962	113	9	input	input	NOUN
cana-3962	113	10	layer	layer	NOUN
cana-3962	113	11	:	:	PUNCT
cana-3962	113	12	•	•	NUM
cana-3962	113	13	input	input	NOUN
cana-3962	113	14	images	image	NOUN
cana-3962	113	15	of	of	ADP
cana-3962	113	16	size	size	NOUN
cana-3962	113	17	224×224×3	224×224×3	NUM
cana-3962	113	18	.	.	PUNCT
cana-3962	114	1	convolutional	convolutional	ADJ
cana-3962	114	2	layer	layer	NOUN
cana-3962	114	3	:	:	PUNCT
cana-3962	114	4	•	•	NUM
cana-3962	114	5	7×7convolution	7×7convolution	NOUN
cana-3962	114	6	with	with	ADP
cana-3962	114	7	stride	stride	NOUN
cana-3962	114	8	2	2	NUM
cana-3962	114	9	and	and	CCONJ
cana-3962	114	10	64	64	NUM
cana-3962	114	11	feature	feature	NOUN
cana-3962	114	12	maps	map	NOUN
cana-3962	114	13	.	.	PUNCT
cana-3962	115	1	•	•	NUM
cana-3962	115	2	followed	follow	VERB
cana-3962	115	3	by	by	ADP
cana-3962	115	4	batch	batch	NOUN
cana-3962	115	5	normalization	normalization	NOUN
cana-3962	115	6	,	,	PUNCT
cana-3962	115	7	relu	relu	NOUN
cana-3962	115	8	,	,	PUNCT
cana-3962	115	9	and	and	CCONJ
cana-3962	115	10	3×3max	3×3max	NUM
cana-3962	115	11	pooling	pooling	NOUN
cana-3962	115	12	.	.	PUNCT
cana-3962	116	1	four	four	NUM
cana-3962	116	2	dense	dense	ADJ
cana-3962	116	3	blocks	block	NOUN
cana-3962	116	4	:	:	PUNCT
cana-3962	116	5	•	•	NUM
cana-3962	116	6	dense	dense	ADJ
cana-3962	116	7	block	block	NOUN
cana-3962	116	8	1	1	NUM
cana-3962	116	9	:	:	PUNCT
cana-3962	116	10	contains	contain	VERB
cana-3962	116	11	multiple	multiple	ADJ
cana-3962	116	12	layers	layer	NOUN
cana-3962	116	13	,	,	PUNCT
cana-3962	116	14	each	each	PRON
cana-3962	116	15	receiving	receive	VERB
cana-3962	116	16	inputs	input	NOUN
cana-3962	116	17	from	from	ADP
cana-3962	116	18	all	all	DET
cana-3962	116	19	previous	previous	ADJ
cana-3962	116	20	layers	layer	NOUN
cana-3962	116	21	.	.	PUNCT
cana-3962	117	1	•	•	NUM
cana-3962	117	2	transition	transition	NOUN
cana-3962	117	3	layer	layer	NOUN
cana-3962	117	4	1	1	NUM
cana-3962	117	5	:	:	PUNCT
cana-3962	117	6	compresses	compress	VERB
cana-3962	117	7	features	feature	NOUN
cana-3962	117	8	and	and	CCONJ
cana-3962	117	9	passes	pass	VERB
cana-3962	117	10	them	they	PRON
cana-3962	117	11	to	to	ADP
cana-3962	117	12	the	the	DET
cana-3962	117	13	next	next	ADJ
cana-3962	117	14	dense	dense	ADJ
cana-3962	117	15	block	block	NOUN
cana-3962	117	16	.	.	PUNCT
cana-3962	118	1	•	•	NOUN
cana-3962	118	2	this	this	DET
cana-3962	118	3	structure	structure	NOUN
cana-3962	118	4	is	be	AUX
cana-3962	118	5	repeated	repeat	VERB
cana-3962	118	6	for	for	ADP
cana-3962	118	7	dense	dense	ADJ
cana-3962	118	8	blocks	block	NOUN
cana-3962	118	9	2	2	NUM
cana-3962	118	10	,	,	PUNCT
cana-3962	118	11	3	3	NUM
cana-3962	118	12	,	,	PUNCT
cana-3962	118	13	and	and	CCONJ
cana-3962	118	14	4	4	NUM
cana-3962	118	15	.	.	X
cana-3962	118	16	global	global	ADJ
cana-3962	118	17	average	average	ADJ
cana-3962	118	18	pooling	pooling	NOUN
cana-3962	118	19	and	and	CCONJ
cana-3962	118	20	classification	classification	NOUN
cana-3962	118	21	:	:	PUNCT
cana-3962	118	22	•	•	ADP
cana-3962	118	23	a	a	DET
cana-3962	118	24	7×7	7×7	NUM
cana-3962	118	25	global	global	ADJ
cana-3962	118	26	average	average	ADJ
cana-3962	118	27	pooling	pool	VERB
cana-3962	118	28	layer	layer	NOUN
cana-3962	118	29	.	.	PUNCT
cana-3962	119	1	•	•	NUM
cana-3962	119	2	the	the	DET
cana-3962	119	3	final	final	ADJ
cana-3962	119	4	layer	layer	NOUN
cana-3962	119	5	is	be	AUX
cana-3962	119	6	a	a	DET
cana-3962	119	7	fully	fully	ADV
cana-3962	119	8	connected	connect	VERB
cana-3962	119	9	layer	layer	NOUN
cana-3962	119	10	with	with	ADP
cana-3962	119	11	softmax	softmax	ADJ
cana-3962	119	12	activation	activation	NOUN
cana-3962	119	13	function	function	NOUN
cana-3962	119	14	.	.	PUNCT
cana-3962	120	1	communications	communication	NOUN
cana-3962	120	2	on	on	ADP
cana-3962	120	3	applied	apply	VERB
cana-3962	120	4	nonlinear	nonlinear	ADJ
cana-3962	120	5	analysis	analysis	NOUN
cana-3962	120	6	issn	issn	NOUN
cana-3962	120	7	:	:	PUNCT
cana-3962	120	8	1074	1074	NUM
cana-3962	120	9	-	-	PUNCT
cana-3962	120	10	133x	133x	NUM
cana-3962	120	11	vol	vol	NOUN
cana-3962	120	12	32	32	NUM
cana-3962	120	13	no	no	NOUN
cana-3962	120	14	.	.	PUNCT
cana-3962	121	1	9s	9s	NUM
cana-3962	121	2	(	(	PUNCT
cana-3962	121	3	2025	2025	NUM
cana-3962	121	4	)	)	PUNCT
cana-3962	121	5	532	532	NUM
cana-3962	121	6	https://internationalpubls.com	https://internationalpubls.com	PROPN
cana-3962	121	7	table	table	NOUN
cana-3962	121	8	ii	ii	PROPN
cana-3962	121	9	.	.	PUNCT
cana-3962	121	10	dense	dense	ADJ
cana-3962	121	11	block	block	NOUN
cana-3962	121	12	and	and	CCONJ
cana-3962	121	13	transition	transition	NOUN
cana-3962	121	14	layer	layer	NOUN
cana-3962	121	15	of	of	ADP
cana-3962	121	16	densenet121	densenet121	PROPN
cana-3962	121	17	architecture	architecture	NOUN
cana-3962	121	18	.	.	PUNCT
cana-3962	122	1	mobilenetv2	mobilenetv2	PROPN
cana-3962	122	2	architecture	architecture	NOUN
cana-3962	122	3	:	:	PUNCT
cana-3962	122	4	mobilenetv2	mobilenetv2	PROPN
cana-3962	122	5	is	be	AUX
cana-3962	122	6	a	a	DET
cana-3962	122	7	lightweight	lightweight	ADJ
cana-3962	122	8	convolutional	convolutional	ADJ
cana-3962	122	9	neural	neural	ADJ
cana-3962	122	10	network	network	NOUN
cana-3962	122	11	architecture	architecture	NOUN
cana-3962	122	12	designed	design	VERB
cana-3962	122	13	for	for	ADP
cana-3962	122	14	resource	resource	NOUN
cana-3962	122	15	-	-	PUNCT
cana-3962	122	16	constrained	constrain	VERB
cana-3962	122	17	environments	environment	NOUN
cana-3962	122	18	such	such	ADJ
cana-3962	122	19	as	as	ADP
cana-3962	122	20	mobile	mobile	ADJ
cana-3962	122	21	and	and	CCONJ
cana-3962	122	22	embedded	embed	VERB
cana-3962	122	23	devices	device	NOUN
cana-3962	122	24	.	.	PUNCT
cana-3962	123	1	it	it	PRON
cana-3962	123	2	builds	build	VERB
cana-3962	123	3	on	on	ADP
cana-3962	123	4	the	the	DET
cana-3962	123	5	success	success	NOUN
cana-3962	123	6	of	of	ADP
cana-3962	123	7	mobilenetv1	mobilenetv1	NOUN
cana-3962	123	8	by	by	ADP
cana-3962	123	9	introducing	introduce	VERB
cana-3962	123	10	inverted	invert	VERB
cana-3962	123	11	residual	residual	ADJ
cana-3962	123	12	blocks	block	NOUN
cana-3962	123	13	and	and	CCONJ
cana-3962	123	14	linear	linear	ADJ
cana-3962	123	15	bottlenecks	bottleneck	NOUN
cana-3962	123	16	for	for	ADP
cana-3962	123	17	efficient	efficient	ADJ
cana-3962	123	18	computation	computation	NOUN
cana-3962	123	19	and	and	CCONJ
cana-3962	123	20	higher	high	ADJ
cana-3962	123	21	accuracy	accuracy	NOUN
cana-3962	123	22	.	.	PUNCT
cana-3962	124	1	[	[	X
cana-3962	124	2	[	[	X
cana-3962	124	3	25	25	NUM
cana-3962	124	4	]	]	X
cana-3962	124	5	]	]	PUNCT
cana-3962	124	6	.	.	PUNCT
cana-3962	125	1	the	the	DET
cana-3962	125	2	backbone	backbone	NOUN
cana-3962	125	3	of	of	ADP
cana-3962	125	4	mobilenetv2	mobilenetv2	PROPN
cana-3962	125	5	consists	consist	VERB
cana-3962	125	6	of	of	ADP
cana-3962	125	7	inverted	inverted	ADJ
cana-3962	125	8	residual	residual	ADJ
cana-3962	125	9	blocks	block	NOUN
cana-3962	125	10	shown	show	VERB
cana-3962	125	11	in	in	ADP
cana-3962	125	12	table	table	NOUN
cana-3962	125	13	iii	iii	PROPN
cana-3962	125	14	.	.	PUNCT
cana-3962	125	15	architecture	architecture	NOUN
cana-3962	125	16	overview	overview	NOUN
cana-3962	125	17	is	be	AUX
cana-3962	125	18	shown	show	VERB
cana-3962	125	19	below	below	ADP
cana-3962	125	20	:	:	PUNCT
cana-3962	125	21	input	input	NOUN
cana-3962	125	22	layer	layer	NOUN
cana-3962	125	23	:	:	PUNCT
cana-3962	125	24	•	•	NUM
cana-3962	125	25	accepts	accept	VERB
cana-3962	125	26	an	an	DET
cana-3962	125	27	image	image	NOUN
cana-3962	125	28	of	of	ADP
cana-3962	125	29	size	size	NOUN
cana-3962	125	30	224×224×3	224×224×3	PROPN
cana-3962	125	31	.	.	PUNCT
cana-3962	126	1	initial	initial	ADJ
cana-3962	126	2	convolution	convolution	NOUN
cana-3962	126	3	:	:	PUNCT
cana-3962	126	4	•	•	ADP
cana-3962	126	5	a	a	DET
cana-3962	126	6	standard	standard	ADJ
cana-3962	126	7	3×3convolution	3×3convolution	PROPN
cana-3962	126	8	with	with	ADP
cana-3962	126	9	stride	stride	NOUN
cana-3962	126	10	2	2	NUM
cana-3962	126	11	,	,	PUNCT
cana-3962	126	12	outputting	output	VERB
cana-3962	126	13	32	32	NUM
cana-3962	126	14	filters	filter	NOUN
cana-3962	126	15	.	.	PUNCT
cana-3962	127	1	bottleneck	bottleneck	NOUN
cana-3962	127	2	blocks	block	NOUN
cana-3962	127	3	:	:	PUNCT
cana-3962	127	4	•	•	ADP
cana-3962	127	5	the	the	DET
cana-3962	127	6	core	core	NOUN
cana-3962	127	7	of	of	ADP
cana-3962	127	8	mobilenetv2	mobilenetv2	PROPN
cana-3962	127	9	consists	consist	VERB
cana-3962	127	10	of	of	ADP
cana-3962	127	11	a	a	DET
cana-3962	127	12	series	series	NOUN
cana-3962	127	13	of	of	ADP
cana-3962	127	14	bottleneck	bottleneck	NOUN
cana-3962	127	15	residual	residual	ADJ
cana-3962	127	16	blocks	block	NOUN
cana-3962	127	17	.	.	PUNCT
cana-3962	128	1	each	each	DET
cana-3962	128	2	block	block	NOUN
cana-3962	128	3	is	be	AUX
cana-3962	128	4	defined	define	VERB
cana-3962	128	5	by	by	ADP
cana-3962	128	6	:	:	PUNCT
cana-3962	128	7	▪	▪	ADJ
cana-3962	128	8	expansion	expansion	NOUN
cana-3962	128	9	:	:	PUNCT
cana-3962	128	10	expands	expand	VERB
cana-3962	128	11	the	the	DET
cana-3962	128	12	input	input	NOUN
cana-3962	128	13	using	use	VERB
cana-3962	128	14	1×1	1×1	NUM
cana-3962	128	15	convolution	convolution	NOUN
cana-3962	128	16	.	.	PUNCT
cana-3962	129	1	▪	▪	ADJ
cana-3962	129	2	depthwise	depthwise	NOUN
cana-3962	129	3	convolution	convolution	NOUN
cana-3962	129	4	:	:	PUNCT
cana-3962	129	5	applies	apply	VERB
cana-3962	129	6	3×3	3×3	NUM
cana-3962	129	7	convolution	convolution	NOUN
cana-3962	129	8	with	with	ADP
cana-3962	129	9	stride	stride	NOUN
cana-3962	129	10	1	1	NUM
cana-3962	129	11	or	or	CCONJ
cana-3962	129	12	2	2	NUM
cana-3962	129	13	.	.	NOUN
cana-3962	129	14	▪	▪	ADJ
cana-3962	129	15	linear	linear	NOUN
cana-3962	129	16	projection	projection	NOUN
cana-3962	129	17	:	:	PUNCT
cana-3962	129	18	reduces	reduce	VERB
cana-3962	129	19	the	the	DET
cana-3962	129	20	expanded	expand	VERB
cana-3962	129	21	dimensions	dimension	NOUN
cana-3962	129	22	back	back	ADV
cana-3962	129	23	to	to	ADP
cana-3962	129	24	a	a	DET
cana-3962	129	25	smaller	small	ADJ
cana-3962	129	26	bottleneck	bottleneck	NOUN
cana-3962	129	27	size	size	NOUN
cana-3962	129	28	.	.	PUNCT
cana-3962	130	1	•	•	NUM
cana-3962	130	2	blocks	block	NOUN
cana-3962	130	3	are	be	AUX
cana-3962	130	4	parameterized	parameterized	ADJ
cana-3962	130	5	by	by	ADP
cana-3962	130	6	:	:	PUNCT
cana-3962	130	7	▪	▪	ADJ
cana-3962	130	8	input	input	NOUN
cana-3962	130	9	and	and	CCONJ
cana-3962	130	10	output	output	NOUN
cana-3962	130	11	channels	channel	NOUN
cana-3962	130	12	.	.	PUNCT
cana-3962	131	1	▪	▪	ADJ
cana-3962	131	2	expansion	expansion	NOUN
cana-3962	131	3	factor	factor	NOUN
cana-3962	131	4	(	(	PUNCT
cana-3962	131	5	commonly	commonly	ADV
cana-3962	131	6	6	6	NUM
cana-3962	131	7	)	)	PUNCT
cana-3962	131	8	.	.	PUNCT
cana-3962	132	1	▪	▪	ADJ
cana-3962	132	2	stride	stride	NOUN
cana-3962	132	3	.	.	PUNCT
cana-3962	133	1	final	final	ADJ
cana-3962	133	2	convolution	convolution	NOUN
cana-3962	133	3	and	and	CCONJ
cana-3962	133	4	classifier	classifier	NOUN
cana-3962	133	5	:	:	PUNCT
cana-3962	133	6	•	•	ADV
cana-3962	133	7	after	after	ADP
cana-3962	133	8	the	the	DET
cana-3962	133	9	bottleneck	bottleneck	NOUN
cana-3962	133	10	blocks	block	NOUN
cana-3962	133	11	,	,	PUNCT
cana-3962	133	12	a	a	DET
cana-3962	133	13	1×1	1×1	NUM
cana-3962	133	14	convolution	convolution	NOUN
cana-3962	133	15	with	with	ADP
cana-3962	133	16	1280	1280	NUM
cana-3962	133	17	filters	filter	NOUN
cana-3962	133	18	is	be	AUX
cana-3962	133	19	applied	apply	VERB
cana-3962	133	20	.	.	PUNCT
cana-3962	133	21	•	•	NUM
cana-3962	133	22	followed	follow	VERB
cana-3962	133	23	by	by	ADP
cana-3962	133	24	global	global	ADJ
cana-3962	133	25	average	average	ADJ
cana-3962	133	26	pooling	pooling	NOUN
cana-3962	133	27	and	and	CCONJ
cana-3962	133	28	a	a	DET
cana-3962	133	29	fully	fully	ADV
cana-3962	133	30	connected	connected	ADJ
cana-3962	133	31	softmax	softmax	NOUN
cana-3962	133	32	layer	layer	NOUN
cana-3962	133	33	.	.	PUNCT
cana-3962	134	1	communications	communication	NOUN
cana-3962	134	2	on	on	ADP
cana-3962	134	3	applied	apply	VERB
cana-3962	134	4	nonlinear	nonlinear	ADJ
cana-3962	134	5	analysis	analysis	NOUN
cana-3962	134	6	issn	issn	NOUN
cana-3962	134	7	:	:	PUNCT
cana-3962	134	8	1074	1074	NUM
cana-3962	134	9	-	-	PUNCT
cana-3962	134	10	133x	133x	NUM
cana-3962	134	11	vol	vol	NOUN
cana-3962	134	12	32	32	NUM
cana-3962	134	13	no	no	NOUN
cana-3962	134	14	.	.	PUNCT
cana-3962	135	1	9s	9s	NUM
cana-3962	135	2	(	(	PUNCT
cana-3962	135	3	2025	2025	NUM
cana-3962	135	4	)	)	PUNCT
cana-3962	135	5	533	533	NUM
cana-3962	135	6	https://internationalpubls.com	https://internationalpubls.com	PROPN
cana-3962	135	7	table	table	NOUN
cana-3962	135	8	iii	iii	PROPN
cana-3962	135	9	.	.	PROPN
cana-3962	135	10	inverted	invert	VERB
cana-3962	135	11	residual	residual	ADJ
cana-3962	135	12	blocks	block	NOUN
cana-3962	135	13	of	of	ADP
cana-3962	135	14	mobilenetv2	mobilenetv2	PROPN
cana-3962	135	15	architecture	architecture	NOUN
cana-3962	135	16	.	.	PUNCT
cana-3962	136	1	3.3	3.3	NUM
cana-3962	136	2	feature	feature	NOUN
cana-3962	136	3	fusion	fusion	NOUN
cana-3962	136	4	techniques	technique	NOUN
cana-3962	136	5	the	the	DET
cana-3962	136	6	extracted	extract	VERB
cana-3962	136	7	features	feature	NOUN
cana-3962	136	8	are	be	AUX
cana-3962	136	9	fusion	fusion	NOUN
cana-3962	136	10	together	together	ADV
cana-3962	136	11	using	use	VERB
cana-3962	136	12	different	different	ADJ
cana-3962	136	13	fusion	fusion	NOUN
cana-3962	136	14	approaches	approach	NOUN
cana-3962	136	15	.	.	PUNCT
cana-3962	137	1	after	after	ADP
cana-3962	137	2	the	the	DET
cana-3962	137	3	combined	combined	ADJ
cana-3962	137	4	features	feature	NOUN
cana-3962	137	5	,	,	PUNCT
cana-3962	137	6	classification	classification	NOUN
cana-3962	137	7	is	be	AUX
cana-3962	137	8	done	do	VERB
cana-3962	137	9	by	by	ADP
cana-3962	137	10	fully	fully	ADV
cana-3962	137	11	connected	connected	ADJ
cana-3962	137	12	layers	layer	NOUN
cana-3962	137	13	of	of	ADP
cana-3962	137	14	cnn	cnn	PROPN
cana-3962	137	15	.	.	PUNCT
cana-3962	138	1	we	we	PRON
cana-3962	138	2	can	can	AUX
cana-3962	138	3	combine	combine	VERB
cana-3962	138	4	features	feature	NOUN
cana-3962	138	5	in	in	ADP
cana-3962	138	6	various	various	ADJ
cana-3962	138	7	ways	way	NOUN
cana-3962	138	8	like	like	ADP
cana-3962	138	9	concatenating	concatenate	VERB
cana-3962	138	10	the	the	DET
cana-3962	138	11	features	feature	NOUN
cana-3962	138	12	,	,	PUNCT
cana-3962	138	13	adding	add	VERB
cana-3962	138	14	features	feature	NOUN
cana-3962	138	15	,	,	PUNCT
cana-3962	138	16	multiplying	multiply	VERB
cana-3962	138	17	features	feature	NOUN
cana-3962	138	18	etc	etc	X
cana-3962	139	1	[	[	X
cana-3962	139	2	[	[	X
cana-3962	139	3	14	14	NUM
cana-3962	139	4	]	]	X
cana-3962	139	5	]	]	PUNCT
cana-3962	139	6	.	.	PUNCT
cana-3962	140	1	the	the	DET
cana-3962	140	2	best	good	ADJ
cana-3962	140	3	option	option	NOUN
cana-3962	140	4	generally	generally	ADV
cana-3962	140	5	relies	rely	VERB
cana-3962	140	6	on	on	ADP
cana-3962	140	7	the	the	DET
cana-3962	140	8	task	task	NOUN
cana-3962	140	9	and	and	CCONJ
cana-3962	140	10	dataset	dataset	NOUN
cana-3962	140	11	.	.	PUNCT
cana-3962	141	1	each	each	DET
cana-3962	141	2	method	method	NOUN
cana-3962	141	3	offers	offer	VERB
cana-3962	141	4	a	a	DET
cana-3962	141	5	different	different	ADJ
cana-3962	141	6	way	way	NOUN
cana-3962	141	7	to	to	PART
cana-3962	141	8	fuse	fuse	VERB
cana-3962	141	9	information	information	NOUN
cana-3962	141	10	.	.	PUNCT
cana-3962	142	1	the	the	DET
cana-3962	142	2	following	follow	VERB
cana-3962	142	3	are	be	AUX
cana-3962	142	4	the	the	DET
cana-3962	142	5	primary	primary	ADJ
cana-3962	142	6	techniques	technique	NOUN
cana-3962	142	7	used	use	VERB
cana-3962	142	8	in	in	ADP
cana-3962	142	9	this	this	DET
cana-3962	142	10	research	research	NOUN
cana-3962	142	11	for	for	ADP
cana-3962	142	12	joining	join	VERB
cana-3962	142	13	extracted	extract	VERB
cana-3962	142	14	features	feature	NOUN
cana-3962	142	15	:	:	PUNCT
cana-3962	142	16	simple	simple	ADJ
cana-3962	142	17	concatenation	concatenation	NOUN
cana-3962	142	18	:	:	PUNCT
cana-3962	142	19	directly	directly	ADV
cana-3962	142	20	concatenating	concatenate	VERB
cana-3962	142	21	the	the	DET
cana-3962	142	22	feature	feature	NOUN
cana-3962	142	23	vectors	vector	NOUN
cana-3962	142	24	from	from	ADP
cana-3962	142	25	two	two	NUM
cana-3962	142	26	or	or	CCONJ
cana-3962	142	27	more	more	ADJ
cana-3962	142	28	models	model	NOUN
cana-3962	142	29	.	.	PUNCT
cana-3962	143	1	it	it	PRON
cana-3962	143	2	is	be	AUX
cana-3962	143	3	the	the	DET
cana-3962	143	4	most	most	ADV
cana-3962	143	5	widely	widely	ADV
cana-3962	143	6	used	use	VERB
cana-3962	143	7	technique	technique	NOUN
cana-3962	143	8	.	.	PUNCT
cana-3962	144	1	the	the	DET
cana-3962	144	2	entire	entire	ADJ
cana-3962	144	3	feature	feature	NOUN
cana-3962	144	4	representation	representation	NOUN
cana-3962	144	5	from	from	ADP
cana-3962	144	6	both	both	DET
cana-3962	144	7	models	model	NOUN
cana-3962	144	8	is	be	AUX
cana-3962	144	9	maintained	maintain	VERB
cana-3962	144	10	using	use	VERB
cana-3962	144	11	this	this	DET
cana-3962	144	12	way	way	NOUN
cana-3962	144	13	.	.	PUNCT
cana-3962	145	1	the	the	DET
cana-3962	145	2	function	function	NOUN
cana-3962	145	3	for	for	ADP
cana-3962	145	4	the	the	DET
cana-3962	145	5	concatenation	concatenation	NOUN
cana-3962	145	6	of	of	ADP
cana-3962	145	7	two	two	NUM
cana-3962	145	8	features	feature	NOUN
cana-3962	145	9	vectors	vector	NOUN
cana-3962	145	10	is	be	AUX
cana-3962	145	11	given	give	VERB
cana-3962	145	12	by	by	ADP
cana-3962	145	13	equation	equation	NOUN
cana-3962	145	14	concatenate(model_1	concatenate(model_1	NOUN
cana-3962	145	15	,	,	PUNCT
cana-3962	145	16	model_2	model_2	PROPN
cana-3962	145	17	)	)	PUNCT
cana-3962	145	18	(	(	PUNCT
cana-3962	145	19	1	1	X
cana-3962	145	20	.	.	PUNCT
cana-3962	145	21	concatenate(model_1	concatenate(model_1	PROPN
cana-3962	145	22	,	,	PUNCT
cana-3962	145	23	model_2	model_2	PROPN
cana-3962	145	24	)	)	PUNCT
cana-3962	145	25	(	(	PUNCT
cana-3962	145	26	1	1	X
cana-3962	145	27	)	)	PUNCT
cana-3962	145	28	weighted	weight	VERB
cana-3962	145	29	concatenation	concatenation	NOUN
cana-3962	145	30	:	:	PUNCT
cana-3962	145	31	to	to	PART
cana-3962	145	32	regulate	regulate	VERB
cana-3962	145	33	each	each	DET
cana-3962	145	34	model	model	NOUN
cana-3962	145	35	's	's	PART
cana-3962	145	36	contribution	contribution	NOUN
cana-3962	145	37	,	,	PUNCT
cana-3962	145	38	you	you	PRON
cana-3962	145	39	can	can	AUX
cana-3962	145	40	provide	provide	VERB
cana-3962	145	41	the	the	DET
cana-3962	145	42	features	feature	NOUN
cana-3962	145	43	that	that	PRON
cana-3962	145	44	were	be	AUX
cana-3962	145	45	taken	take	VERB
cana-3962	145	46	from	from	ADP
cana-3962	145	47	pre	pre	ADJ
cana-3962	145	48	-	-	ADJ
cana-3962	145	49	trained	train	VERB
cana-3962	145	50	models	model	NOUN
cana-3962	145	51	distinct	distinct	VERB
cana-3962	145	52	weights	weight	NOUN
cana-3962	145	53	.	.	PUNCT
cana-3962	146	1	when	when	SCONJ
cana-3962	146	2	certain	certain	ADJ
cana-3962	146	3	properties	property	NOUN
cana-3962	146	4	of	of	ADP
cana-3962	146	5	one	one	NUM
cana-3962	146	6	model	model	NOUN
cana-3962	146	7	are	be	AUX
cana-3962	146	8	more	more	ADV
cana-3962	146	9	significant	significant	ADJ
cana-3962	146	10	than	than	ADP
cana-3962	146	11	those	those	PRON
cana-3962	146	12	of	of	ADP
cana-3962	146	13	the	the	DET
cana-3962	146	14	other	other	ADJ
cana-3962	146	15	,	,	PUNCT
cana-3962	146	16	this	this	PRON
cana-3962	146	17	can	can	AUX
cana-3962	146	18	be	be	AUX
cana-3962	146	19	useful	useful	ADJ
cana-3962	146	20	.	.	PUNCT
cana-3962	147	1	function	function	NOUN
cana-3962	147	2	for	for	ADP
cana-3962	147	3	this	this	DET
cana-3962	147	4	concatenation	concatenation	NOUN
cana-3962	147	5	is	be	AUX
cana-3962	147	6	given	give	VERB
cana-3962	147	7	in	in	ADP
cana-3962	147	8	equation	equation	NOUN
cana-3962	147	9	concatenate()([0.7*model_1	concatenate()([0.7*model_1	PROPN
cana-3962	147	10	,	,	PUNCT
cana-3962	147	11	0.3	0.3	NUM
cana-3962	147	12	*	*	PUNCT
cana-3962	147	13	model_2	model_2	PROPN
cana-3962	147	14	]	]	PUNCT
cana-3962	147	15	)	)	PUNCT
cana-3962	147	16	(	(	PUNCT
cana-3962	147	17	2	2	NUM
cana-3962	147	18	)	)	PUNCT
cana-3962	147	19	.	.	PUNCT
cana-3962	148	1	concatenate()([0.7*model_1	concatenate()([0.7*model_1	PROPN
cana-3962	148	2	,	,	PUNCT
cana-3962	148	3	0.3	0.3	NUM
cana-3962	148	4	*	*	PUNCT
cana-3962	148	5	model_2	model_2	PROPN
cana-3962	148	6	]	]	PUNCT
cana-3962	148	7	)	)	PUNCT
cana-3962	148	8	(	(	PUNCT
cana-3962	148	9	2	2	X
cana-3962	148	10	)	)	PUNCT
cana-3962	148	11	additive	additive	ADJ
cana-3962	148	12	fusion	fusion	NOUN
cana-3962	148	13	(	(	PUNCT
cana-3962	148	14	element	element	NOUN
cana-3962	148	15	-	-	ADJ
cana-3962	148	16	wise	wise	ADJ
cana-3962	148	17	addition	addition	NOUN
cana-3962	148	18	):	):	PUNCT
cana-3962	148	19	it	it	PRON
cana-3962	148	20	can	can	AUX
cana-3962	148	21	add	add	VERB
cana-3962	148	22	the	the	DET
cana-3962	148	23	feature	feature	NOUN
cana-3962	148	24	vectors	vector	NOUN
cana-3962	148	25	elementwise	elementwise	VERB
cana-3962	148	26	rather	rather	ADV
cana-3962	148	27	than	than	ADP
cana-3962	148	28	concatenating	concatenate	VERB
cana-3962	148	29	.	.	PUNCT
cana-3962	149	1	for	for	SCONJ
cana-3962	149	2	this	this	PRON
cana-3962	149	3	to	to	PART
cana-3962	149	4	work	work	VERB
cana-3962	149	5	,	,	PUNCT
cana-3962	149	6	the	the	DET
cana-3962	149	7	dimensions	dimension	NOUN
cana-3962	149	8	of	of	ADP
cana-3962	149	9	both	both	DET
cana-3962	149	10	feature	feature	NOUN
cana-3962	149	11	vectors	vector	NOUN
cana-3962	149	12	must	must	AUX
cana-3962	149	13	match	match	VERB
cana-3962	149	14	.	.	PUNCT
cana-3962	150	1	you	you	PRON
cana-3962	150	2	must	must	AUX
cana-3962	150	3	apply	apply	VERB
cana-3962	150	4	a	a	DET
cana-3962	150	5	transformation	transformation	NOUN
cana-3962	150	6	(	(	PUNCT
cana-3962	150	7	such	such	ADJ
cana-3962	150	8	as	as	ADP
cana-3962	150	9	a	a	DET
cana-3962	150	10	dense	dense	ADJ
cana-3962	150	11	layer	layer	NOUN
cana-3962	150	12	)	)	PUNCT
cana-3962	150	13	if	if	SCONJ
cana-3962	150	14	the	the	DET
cana-3962	150	15	feature	feature	NOUN
cana-3962	150	16	vector	vector	NOUN
cana-3962	150	17	sizes	size	NOUN
cana-3962	150	18	differ	differ	VERB
cana-3962	150	19	to	to	PART
cana-3962	150	20	guarantee	guarantee	VERB
cana-3962	150	21	that	that	SCONJ
cana-3962	150	22	they	they	PRON
cana-3962	150	23	are	be	AUX
cana-3962	150	24	of	of	ADP
cana-3962	150	25	the	the	DET
cana-3962	150	26	same	same	ADJ
cana-3962	150	27	size	size	NOUN
cana-3962	150	28	.	.	PUNCT
cana-3962	151	1	function	function	NOUN
cana-3962	151	2	for	for	ADP
cana-3962	151	3	element	element	ADJ
cana-3962	151	4	wise	wise	ADJ
cana-3962	151	5	addition	addition	NOUN
cana-3962	151	6	is	be	AUX
cana-3962	151	7	given	give	VERB
cana-3962	151	8	in	in	ADP
cana-3962	151	9	equation	equation	NOUN
cana-3962	151	10	add(model_1	add(model_1	PROPN
cana-3962	151	11	,	,	PUNCT
cana-3962	151	12	model_2	model_2	PROPN
cana-3962	151	13	)	)	PUNCT
cana-3962	151	14	(	(	PUNCT
cana-3962	151	15	3	3	NUM
cana-3962	151	16	)	)	PUNCT
cana-3962	151	17	.	.	PUNCT
cana-3962	152	1	communications	communication	NOUN
cana-3962	152	2	on	on	ADP
cana-3962	152	3	applied	apply	VERB
cana-3962	152	4	nonlinear	nonlinear	ADJ
cana-3962	152	5	analysis	analysis	NOUN
cana-3962	152	6	issn	issn	NOUN
cana-3962	152	7	:	:	PUNCT
cana-3962	152	8	1074	1074	NUM
cana-3962	152	9	-	-	PUNCT
cana-3962	152	10	133x	133x	NUM
cana-3962	152	11	vol	vol	NOUN
cana-3962	152	12	32	32	NUM
cana-3962	152	13	no	no	NOUN
cana-3962	152	14	.	.	PUNCT
cana-3962	153	1	9s	9s	NUM
cana-3962	153	2	(	(	PUNCT
cana-3962	153	3	2025	2025	NUM
cana-3962	153	4	)	)	PUNCT
cana-3962	153	5	534	534	NUM
cana-3962	153	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3962	153	7	add(model_1	add(model_1	PROPN
cana-3962	153	8	,	,	PUNCT
cana-3962	153	9	model_2	model_2	NOUN
cana-3962	153	10	)	)	PUNCT
cana-3962	153	11	(	(	PUNCT
cana-3962	153	12	3	3	X
cana-3962	153	13	)	)	PUNCT
cana-3962	153	14	element	element	NOUN
cana-3962	153	15	-	-	PUNCT
cana-3962	153	16	wise	wise	ADJ
cana-3962	153	17	multiplication	multiplication	NOUN
cana-3962	153	18	(	(	PUNCT
cana-3962	153	19	hadamard	hadamard	ADJ
cana-3962	153	20	product	product	NOUN
cana-3962	153	21	):	):	PUNCT
cana-3962	153	22	multiply	multiply	VERB
cana-3962	153	23	the	the	DET
cana-3962	153	24	feature	feature	NOUN
cana-3962	153	25	vectors	vector	NOUN
cana-3962	153	26	elementwise	elementwise	VERB
cana-3962	153	27	.	.	PUNCT
cana-3962	154	1	interactions	interaction	NOUN
cana-3962	154	2	between	between	ADP
cana-3962	154	3	the	the	DET
cana-3962	154	4	features	feature	NOUN
cana-3962	154	5	are	be	AUX
cana-3962	154	6	captured	capture	VERB
cana-3962	154	7	using	use	VERB
cana-3962	154	8	this	this	DET
cana-3962	154	9	technique	technique	NOUN
cana-3962	154	10	.	.	PUNCT
cana-3962	155	1	element	element	ADJ
cana-3962	155	2	-	-	ADJ
cana-3962	155	3	wise	wise	ADJ
cana-3962	155	4	multiplication	multiplication	NOUN
cana-3962	155	5	of	of	ADP
cana-3962	155	6	features	feature	NOUN
cana-3962	155	7	is	be	AUX
cana-3962	155	8	given	give	VERB
cana-3962	155	9	by	by	ADP
cana-3962	155	10	equation	equation	NOUN
cana-3962	155	11	multiply(model_1	multiply(model_1	NOUN
cana-3962	155	12	,	,	PUNCT
cana-3962	155	13	model_2	model_2	PROPN
cana-3962	155	14	)	)	PUNCT
cana-3962	155	15	(	(	PUNCT
cana-3962	155	16	4	4	NUM
cana-3962	155	17	)	)	PUNCT
cana-3962	155	18	.	.	PUNCT
cana-3962	156	1	multiply(model_1	multiply(model_1	PROPN
cana-3962	156	2	,	,	PUNCT
cana-3962	156	3	model_2	model_2	PROPN
cana-3962	156	4	)	)	PUNCT
cana-3962	156	5	(	(	PUNCT
cana-3962	156	6	4	4	X
cana-3962	156	7	)	)	PUNCT
cana-3962	156	8	gated	gate	VERB
cana-3962	156	9	fusion	fusion	NOUN
cana-3962	156	10	(	(	PUNCT
cana-3962	156	11	attention	attention	NOUN
cana-3962	156	12	mechanism	mechanism	NOUN
cana-3962	156	13	):	):	PUNCT
cana-3962	156	14	to	to	PART
cana-3962	156	15	choose	choose	VERB
cana-3962	156	16	the	the	DET
cana-3962	156	17	amount	amount	NOUN
cana-3962	156	18	of	of	ADP
cana-3962	156	19	information	information	NOUN
cana-3962	156	20	to	to	PART
cana-3962	156	21	extract	extract	VERB
cana-3962	156	22	from	from	ADP
cana-3962	156	23	each	each	DET
cana-3962	156	24	model	model	NOUN
cana-3962	156	25	,	,	PUNCT
cana-3962	156	26	you	you	PRON
cana-3962	156	27	can	can	AUX
cana-3962	156	28	apply	apply	VERB
cana-3962	156	29	either	either	CCONJ
cana-3962	156	30	an	an	DET
cana-3962	156	31	attention	attention	NOUN
cana-3962	156	32	mechanism	mechanism	NOUN
cana-3962	156	33	or	or	CCONJ
cana-3962	156	34	a	a	DET
cana-3962	156	35	gating	gate	VERB
cana-3962	156	36	function	function	NOUN
cana-3962	156	37	.	.	PUNCT
cana-3962	157	1	the	the	DET
cana-3962	157	2	merging	merging	NOUN
cana-3962	157	3	of	of	ADP
cana-3962	157	4	pre	pre	ADJ
cana-3962	157	5	-	-	ADJ
cana-3962	157	6	trained	train	VERB
cana-3962	157	7	models	model	NOUN
cana-3962	157	8	’	'	PUNCT
cana-3962	157	9	features	feature	NOUN
cana-3962	157	10	is	be	AUX
cana-3962	157	11	managed	manage	VERB
cana-3962	157	12	by	by	ADP
cana-3962	157	13	a	a	DET
cana-3962	157	14	learned	learn	VERB
cana-3962	157	15	gating	gate	VERB
cana-3962	157	16	layer	layer	NOUN
cana-3962	157	17	.	.	PUNCT
cana-3962	158	1	the	the	DET
cana-3962	158	2	function	function	NOUN
cana-3962	158	3	for	for	ADP
cana-3962	158	4	this	this	DET
cana-3962	158	5	type	type	NOUN
cana-3962	158	6	of	of	ADP
cana-3962	158	7	concatenation	concatenation	NOUN
cana-3962	158	8	is	be	AUX
cana-3962	158	9	given	give	VERB
cana-3962	158	10	by	by	ADP
cana-3962	158	11	equation	equation	NOUN
cana-3962	158	12	multiply()([gate	multiply()([gate	NOUN
cana-3962	158	13	,	,	PUNCT
cana-3962	158	14	model_1	model_1	PROPN
cana-3962	158	15	]	]	PUNCT
cana-3962	158	16	)	)	PUNCT
cana-3962	159	1	+	+	CCONJ
cana-3962	159	2	multiply()([(1	multiply()([(1	DET
cana-3962	159	3	gate	gate	NOUN
cana-3962	159	4	)	)	PUNCT
cana-3962	159	5	,	,	PUNCT
cana-3962	159	6	model_2	model_2	PROPN
cana-3962	159	7	]	]	PUNCT
cana-3962	159	8	)	)	PUNCT
cana-3962	159	9	(	(	PUNCT
cana-3962	159	10	5	5	NUM
cana-3962	159	11	)	)	PUNCT
cana-3962	159	12	.	.	PUNCT
cana-3962	160	1	multiply()([gate	multiply()([gate	ADJ
cana-3962	160	2	,	,	PUNCT
cana-3962	160	3	model_1	model_1	PROPN
cana-3962	160	4	]	]	PUNCT
cana-3962	160	5	)	)	PUNCT
cana-3962	161	1	+	+	CCONJ
cana-3962	161	2	multiply()([(1	multiply()([(1	DET
cana-3962	161	3	gate	gate	NOUN
cana-3962	161	4	)	)	PUNCT
cana-3962	161	5	,	,	PUNCT
cana-3962	161	6	model_2	model_2	PROPN
cana-3962	161	7	]	]	PUNCT
cana-3962	161	8	)	)	PUNCT
cana-3962	161	9	(	(	PUNCT
cana-3962	161	10	5	5	X
cana-3962	161	11	)	)	PUNCT
cana-3962	161	12	feature	feature	NOUN
cana-3962	161	13	averaging	averaging	NOUN
cana-3962	161	14	:	:	PUNCT
cana-3962	161	15	the	the	DET
cana-3962	161	16	feature	feature	NOUN
cana-3962	161	17	vectors	vector	NOUN
cana-3962	161	18	are	be	AUX
cana-3962	161	19	averaged	average	VERB
cana-3962	161	20	rather	rather	ADV
cana-3962	161	21	than	than	ADP
cana-3962	161	22	concatenated	concatenate	VERB
cana-3962	161	23	.	.	PUNCT
cana-3962	162	1	this	this	PRON
cana-3962	162	2	is	be	AUX
cana-3962	162	3	a	a	DET
cana-3962	162	4	straightforward	straightforward	ADJ
cana-3962	162	5	method	method	NOUN
cana-3962	162	6	of	of	ADP
cana-3962	162	7	merging	merge	VERB
cana-3962	162	8	two	two	NUM
cana-3962	162	9	models	model	NOUN
cana-3962	162	10	so	so	SCONJ
cana-3962	162	11	that	that	SCONJ
cana-3962	162	12	each	each	PRON
cana-3962	162	13	makes	make	VERB
cana-3962	162	14	an	an	DET
cana-3962	162	15	equal	equal	ADJ
cana-3962	162	16	contribution	contribution	NOUN
cana-3962	162	17	.	.	PUNCT
cana-3962	163	1	average	average	ADJ
cana-3962	163	2	function	function	NOUN
cana-3962	163	3	of	of	ADP
cana-3962	163	4	this	this	DET
cana-3962	163	5	concatenation	concatenation	NOUN
cana-3962	163	6	is	be	AUX
cana-3962	163	7	given	give	VERB
cana-3962	163	8	by	by	ADP
cana-3962	163	9	equation	equation	NOUN
cana-3962	163	10	average(model_1	average(model_1	NOUN
cana-3962	163	11	,	,	PUNCT
cana-3962	163	12	model_2	model_2	PROPN
cana-3962	163	13	)	)	PUNCT
cana-3962	163	14	(	(	PUNCT
cana-3962	163	15	6	6	NUM
cana-3962	163	16	)	)	PUNCT
cana-3962	163	17	.	.	PUNCT
cana-3962	164	1	average(model_1	average(model_1	PROPN
cana-3962	164	2	,	,	PUNCT
cana-3962	164	3	model_2	model_2	PROPN
cana-3962	164	4	)	)	PUNCT
cana-3962	164	5	(	(	PUNCT
cana-3962	164	6	6	6	X
cana-3962	164	7	)	)	PUNCT
cana-3962	164	8	the	the	DET
cana-3962	164	9	pros	pro	NOUN
cana-3962	164	10	and	and	CCONJ
cana-3962	164	11	cons	con	NOUN
cana-3962	164	12	of	of	ADP
cana-3962	164	13	each	each	DET
cana-3962	164	14	method	method	NOUN
cana-3962	164	15	is	be	AUX
cana-3962	164	16	shown	show	VERB
cana-3962	164	17	in	in	ADP
cana-3962	164	18	error	error	NOUN
cana-3962	164	19	!	!	PUNCT
cana-3962	165	1	reference	reference	NOUN
cana-3962	165	2	source	source	NOUN
cana-3962	165	3	not	not	PART
cana-3962	165	4	found	find	VERB
cana-3962	165	5	.	.	PUNCT
cana-3962	166	1	with	with	ADP
cana-3962	166	2	the	the	DET
cana-3962	166	3	functions	function	NOUN
cana-3962	166	4	available	available	ADJ
cana-3962	166	5	in	in	ADP
cana-3962	166	6	keras	keras	PROPN
cana-3962	166	7	library	library	PROPN
cana-3962	166	8	.	.	PUNCT
cana-3962	167	1	table	table	NOUN
cana-3962	167	2	iv	iv	PROPN
cana-3962	167	3	.	.	PUNCT
cana-3962	167	4	feature	feature	NOUN
cana-3962	167	5	fusion	fusion	NOUN
cana-3962	167	6	techniques	technique	NOUN
cana-3962	167	7	with	with	ADP
cana-3962	167	8	advantages	advantage	NOUN
cana-3962	167	9	and	and	CCONJ
cana-3962	167	10	disadvantages	disadvantage	NOUN
cana-3962	167	11	.	.	PUNCT
cana-3962	168	1	technique	technique	NOUN
cana-3962	168	2	pros	pro	NOUN
cana-3962	168	3	cons	con	NOUN
cana-3962	168	4	simple	simple	ADJ
cana-3962	168	5	concatenation	concatenation	NOUN
cana-3962	168	6	retains	retain	VERB
cana-3962	168	7	the	the	DET
cana-3962	168	8	maximum	maximum	ADJ
cana-3962	168	9	information	information	NOUN
cana-3962	168	10	possible	possible	ADJ
cana-3962	168	11	from	from	ADP
cana-3962	168	12	both	both	DET
cana-3962	168	13	networks	network	NOUN
cana-3962	168	14	.	.	PUNCT
cana-3962	169	1	it	it	PRON
cana-3962	169	2	can	can	AUX
cana-3962	169	3	cause	cause	VERB
cana-3962	169	4	feature	feature	NOUN
cana-3962	169	5	vectors	vector	NOUN
cana-3962	169	6	to	to	PART
cana-3962	169	7	become	become	VERB
cana-3962	169	8	highly	highly	ADV
cana-3962	169	9	dimensional	dimensional	ADJ
cana-3962	169	10	,	,	PUNCT
cana-3962	169	11	which	which	PRON
cana-3962	169	12	could	could	AUX
cana-3962	169	13	increase	increase	VERB
cana-3962	169	14	training	training	NOUN
cana-3962	169	15	time	time	NOUN
cana-3962	169	16	and	and	CCONJ
cana-3962	169	17	need	need	VERB
cana-3962	169	18	more	more	ADJ
cana-3962	169	19	memory	memory	NOUN
cana-3962	169	20	.	.	PUNCT
cana-3962	170	1	weighted	weight	VERB
cana-3962	170	2	concatenation	concatenation	NOUN
cana-3962	170	3	permits	permit	NOUN
cana-3962	170	4	giving	give	VERB
cana-3962	170	5	priority	priority	NOUN
cana-3962	170	6	to	to	ADP
cana-3962	170	7	more	more	ADV
cana-3962	170	8	relevant	relevant	ADJ
cana-3962	170	9	features	feature	NOUN
cana-3962	170	10	.	.	PUNCT
cana-3962	171	1	requires	require	VERB
cana-3962	171	2	tuning	tune	VERB
cana-3962	171	3	of	of	ADP
cana-3962	171	4	the	the	DET
cana-3962	171	5	weights	weight	NOUN
cana-3962	171	6	,	,	PUNCT
cana-3962	171	7	which	which	PRON
cana-3962	171	8	might	might	AUX
cana-3962	171	9	be	be	AUX
cana-3962	171	10	tricky	tricky	ADJ
cana-3962	171	11	.	.	PUNCT
cana-3962	172	1	additive	additive	ADJ
cana-3962	172	2	fusion	fusion	NOUN
cana-3962	172	3	(	(	PUNCT
cana-3962	172	4	element	element	NOUN
cana-3962	172	5	-	-	ADJ
cana-3962	172	6	wise	wise	ADJ
cana-3962	172	7	addition	addition	NOUN
cana-3962	172	8	)	)	PUNCT
cana-3962	172	9	easier	easy	ADJ
cana-3962	172	10	to	to	PART
cana-3962	172	11	control	control	VERB
cana-3962	172	12	in	in	ADP
cana-3962	172	13	terms	term	NOUN
cana-3962	172	14	of	of	ADP
cana-3962	172	15	memory	memory	NOUN
cana-3962	172	16	and	and	CCONJ
cana-3962	172	17	processing	processing	NOUN
cana-3962	172	18	power	power	NOUN
cana-3962	172	19	.	.	PUNCT
cana-3962	173	1	decreases	decrease	VERB
cana-3962	173	2	the	the	DET
cana-3962	173	3	dimensionality	dimensionality	NOUN
cana-3962	173	4	of	of	ADP
cana-3962	173	5	the	the	DET
cana-3962	173	6	combined	combine	VERB
cana-3962	173	7	feature	feature	NOUN
cana-3962	173	8	space	space	NOUN
cana-3962	173	9	.	.	PUNCT
cana-3962	174	1	by	by	ADP
cana-3962	174	2	direct	direct	ADJ
cana-3962	174	3	addition	addition	NOUN
cana-3962	174	4	,	,	PUNCT
cana-3962	174	5	some	some	DET
cana-3962	174	6	detailed	detailed	ADJ
cana-3962	174	7	feature	feature	NOUN
cana-3962	174	8	representations	representation	NOUN
cana-3962	174	9	might	might	AUX
cana-3962	174	10	be	be	AUX
cana-3962	174	11	lost	lose	VERB
cana-3962	174	12	.	.	PUNCT
cana-3962	175	1	multiplication	multiplication	NOUN
cana-3962	175	2	results	result	NOUN
cana-3962	175	3	in	in	ADP
cana-3962	175	4	smaller	small	ADJ
cana-3962	175	5	feature	feature	NOUN
cana-3962	175	6	dimensions	dimension	NOUN
cana-3962	175	7	compared	compare	VERB
cana-3962	175	8	to	to	ADP
cana-3962	175	9	concatenation	concatenation	NOUN
cana-3962	175	10	.	.	PUNCT
cana-3962	176	1	might	might	AUX
cana-3962	176	2	lose	lose	VERB
cana-3962	176	3	the	the	DET
cana-3962	176	4	significance	significance	NOUN
cana-3962	176	5	of	of	ADP
cana-3962	176	6	each	each	DET
cana-3962	176	7	attribute	attribute	NOUN
cana-3962	176	8	when	when	SCONJ
cana-3962	176	9	multiplied	multiply	VERB
cana-3962	176	10	directly	directly	ADV
cana-3962	176	11	.	.	PUNCT
cana-3962	177	1	gated	gate	VERB
cana-3962	177	2	fusion	fusion	NOUN
cana-3962	177	3	(	(	PUNCT
cana-3962	177	4	attention	attention	NOUN
cana-3962	177	5	mechanism	mechanism	NOUN
cana-3962	177	6	)	)	PUNCT
cana-3962	177	7	determines	determine	VERB
cana-3962	177	8	the	the	DET
cana-3962	177	9	attributes	attribute	NOUN
cana-3962	177	10	that	that	PRON
cana-3962	177	11	are	be	AUX
cana-3962	177	12	most	most	ADV
cana-3962	177	13	important	important	ADJ
cana-3962	177	14	dynamically	dynamically	ADV
cana-3962	177	15	.	.	PUNCT
cana-3962	178	1	more	more	ADV
cana-3962	178	2	sophisticated	sophisticated	ADJ
cana-3962	178	3	in	in	ADP
cana-3962	178	4	terms	term	NOUN
cana-3962	178	5	of	of	ADP
cana-3962	178	6	calculation	calculation	NOUN
cana-3962	178	7	.	.	PUNCT
cana-3962	179	1	feature	feature	NOUN
cana-3962	179	2	averaging	average	VERB
cana-3962	179	3	easy	easy	ADJ
cana-3962	179	4	to	to	PART
cana-3962	179	5	understand	understand	VERB
cana-3962	179	6	and	and	CCONJ
cana-3962	179	7	computationally	computationally	ADV
cana-3962	179	8	effective	effective	ADJ
cana-3962	179	9	.	.	PUNCT
cana-3962	180	1	the	the	DET
cana-3962	180	2	process	process	NOUN
cana-3962	180	3	of	of	ADP
cana-3962	180	4	averaging	average	VERB
cana-3962	180	5	may	may	AUX
cana-3962	180	6	lose	lose	VERB
cana-3962	180	7	some	some	DET
cana-3962	180	8	crucial	crucial	ADJ
cana-3962	180	9	details	detail	NOUN
cana-3962	180	10	.	.	PUNCT
cana-3962	181	1	less	less	ADJ
cana-3962	181	2	flexible	flexible	ADJ
cana-3962	181	3	communications	communication	NOUN
cana-3962	181	4	on	on	ADP
cana-3962	181	5	applied	apply	VERB
cana-3962	181	6	nonlinear	nonlinear	ADJ
cana-3962	181	7	analysis	analysis	NOUN
cana-3962	181	8	issn	issn	NOUN
cana-3962	181	9	:	:	PUNCT
cana-3962	181	10	1074	1074	NUM
cana-3962	181	11	-	-	PUNCT
cana-3962	181	12	133x	133x	NUM
cana-3962	181	13	vol	vol	NOUN
cana-3962	181	14	32	32	NUM
cana-3962	181	15	no	no	NOUN
cana-3962	181	16	.	.	PUNCT
cana-3962	182	1	9s	9s	NUM
cana-3962	182	2	(	(	PUNCT
cana-3962	182	3	2025	2025	NUM
cana-3962	182	4	)	)	PUNCT
cana-3962	182	5	535	535	NUM
cana-3962	182	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3962	182	7	than	than	ADP
cana-3962	182	8	concatenation	concatenation	NOUN
cana-3962	182	9	and	and	CCONJ
cana-3962	182	10	other	other	ADJ
cana-3962	182	11	similar	similar	ADJ
cana-3962	182	12	techniques	technique	NOUN
cana-3962	182	13	.	.	PUNCT
cana-3962	183	1	3.4	3.4	NUM
cana-3962	183	2	proposed	propose	VERB
cana-3962	183	3	methodology	methodology	NOUN
cana-3962	183	4	after	after	ADP
cana-3962	183	5	choosing	choose	VERB
cana-3962	183	6	high	high	ADJ
cana-3962	183	7	accuracy	accuracy	NOUN
cana-3962	183	8	performance	performance	NOUN
cana-3962	183	9	deep	deep	ADJ
cana-3962	183	10	learning	learning	NOUN
cana-3962	183	11	models	model	NOUN
cana-3962	183	12	i.e.	i.e.	X
cana-3962	183	13	pre	pre	ADJ
cana-3962	183	14	-	-	ADJ
cana-3962	183	15	trained	train	VERB
cana-3962	183	16	models	model	NOUN
cana-3962	183	17	for	for	ADP
cana-3962	183	18	feature	feature	NOUN
cana-3962	183	19	extraction	extraction	NOUN
cana-3962	183	20	and	and	CCONJ
cana-3962	183	21	analysing	analyse	VERB
cana-3962	183	22	all	all	DET
cana-3962	183	23	feature	feature	NOUN
cana-3962	183	24	fusion	fusion	NOUN
cana-3962	183	25	techniques	technique	NOUN
cana-3962	183	26	,	,	PUNCT
cana-3962	183	27	we	we	PRON
cana-3962	183	28	have	have	AUX
cana-3962	183	29	followed	follow	VERB
cana-3962	183	30	the	the	DET
cana-3962	183	31	methodology	methodology	NOUN
cana-3962	183	32	shown	show	VERB
cana-3962	183	33	in	in	ADP
cana-3962	183	34	figure	figure	NOUN
cana-3962	183	35	2	2	NUM
cana-3962	183	36	for	for	ADP
cana-3962	183	37	classifying	classify	VERB
cana-3962	183	38	image	image	NOUN
cana-3962	183	39	datasets	dataset	NOUN
cana-3962	183	40	into	into	ADP
cana-3962	183	41	‘	'	PUNCT
cana-3962	183	42	monkeypox	monkeypox	NOUN
cana-3962	183	43	’	'	PUNCT
cana-3962	183	44	or	or	CCONJ
cana-3962	183	45	‘	'	PUNCT
cana-3962	183	46	normal	normal	ADJ
cana-3962	183	47	’	'	PUNCT
cana-3962	183	48	category	category	NOUN
cana-3962	183	49	.	.	PUNCT
cana-3962	184	1	the	the	DET
cana-3962	184	2	training	training	NOUN
cana-3962	184	3	dataset	dataset	NOUN
cana-3962	184	4	have	have	AUX
cana-3962	184	5	been	be	AUX
cana-3962	184	6	passed	pass	VERB
cana-3962	184	7	on	on	ADP
cana-3962	184	8	pre	pre	ADJ
cana-3962	184	9	-	-	ADJ
cana-3962	184	10	trained	train	VERB
cana-3962	184	11	models	model	NOUN
cana-3962	184	12	separately	separately	ADV
cana-3962	184	13	to	to	PART
cana-3962	184	14	extract	extract	VERB
cana-3962	184	15	feature	feature	NOUN
cana-3962	184	16	maps	map	NOUN
cana-3962	184	17	.	.	PUNCT
cana-3962	185	1	the	the	DET
cana-3962	185	2	obtained	obtain	VERB
cana-3962	185	3	feature	feature	NOUN
cana-3962	185	4	maps	map	NOUN
cana-3962	185	5	are	be	AUX
cana-3962	185	6	fused	fuse	VERB
cana-3962	185	7	using	use	VERB
cana-3962	185	8	the	the	DET
cana-3962	185	9	specified	specify	VERB
cana-3962	185	10	fusion	fusion	NOUN
cana-3962	185	11	methods	method	NOUN
cana-3962	185	12	.	.	PUNCT
cana-3962	186	1	the	the	DET
cana-3962	186	2	best	good	ADJ
cana-3962	186	3	method	method	NOUN
cana-3962	186	4	to	to	PART
cana-3962	186	5	fuse	fuse	NOUN
cana-3962	186	6	features	feature	NOUN
cana-3962	186	7	is	be	AUX
cana-3962	186	8	being	be	AUX
cana-3962	186	9	chosen	choose	VERB
cana-3962	186	10	by	by	ADP
cana-3962	186	11	analysing	analyse	VERB
cana-3962	186	12	the	the	DET
cana-3962	186	13	accuracy	accuracy	NOUN
cana-3962	186	14	as	as	ADV
cana-3962	186	15	well	well	ADV
cana-3962	186	16	as	as	ADP
cana-3962	186	17	the	the	DET
cana-3962	186	18	ease	ease	NOUN
cana-3962	186	19	of	of	ADP
cana-3962	186	20	representation	representation	NOUN
cana-3962	186	21	learning	learning	NOUN
cana-3962	186	22	.	.	PUNCT
cana-3962	187	1	the	the	DET
cana-3962	187	2	fused	fuse	VERB
cana-3962	187	3	feature	feature	NOUN
cana-3962	187	4	maps	map	NOUN
cana-3962	187	5	are	be	AUX
cana-3962	187	6	then	then	ADV
cana-3962	187	7	used	use	VERB
cana-3962	187	8	to	to	PART
cana-3962	187	9	classify	classify	VERB
cana-3962	187	10	the	the	DET
cana-3962	187	11	monkeypox	monkeypox	NOUN
cana-3962	187	12	images	image	NOUN
cana-3962	187	13	and	and	CCONJ
cana-3962	187	14	normal	normal	ADJ
cana-3962	187	15	images	image	NOUN
cana-3962	187	16	.	.	PUNCT
cana-3962	188	1	figure	figure	NOUN
cana-3962	188	2	2	2	NUM
cana-3962	188	3	.	.	PUNCT
cana-3962	188	4	a	a	DET
cana-3962	188	5	visual	visual	ADJ
cana-3962	188	6	flowchart	flowchart	NOUN
cana-3962	188	7	of	of	ADP
cana-3962	188	8	proposed	propose	VERB
cana-3962	188	9	model	model	NOUN
cana-3962	188	10	.	.	PUNCT
cana-3962	189	1	the	the	DET
cana-3962	189	2	algorithm	algorithm	NOUN
cana-3962	189	3	for	for	ADP
cana-3962	189	4	the	the	DET
cana-3962	189	5	process	process	NOUN
cana-3962	189	6	followed	follow	VERB
cana-3962	189	7	for	for	SCONJ
cana-3962	189	8	our	our	PRON
cana-3962	189	9	work	work	NOUN
cana-3962	189	10	is	be	AUX
cana-3962	189	11	shown	show	VERB
cana-3962	189	12	next	next	ADV
cana-3962	189	13	in	in	ADP
cana-3962	189	14	table	table	NOUN
cana-3962	189	15	v.	v.	ADP
cana-3962	189	16	image	image	NOUN
cana-3962	189	17	width	width	NOUN
cana-3962	189	18	and	and	CCONJ
cana-3962	189	19	height	height	NOUN
cana-3962	189	20	are	be	AUX
cana-3962	189	21	set	set	VERB
cana-3962	189	22	to	to	PART
cana-3962	189	23	be	be	AUX
cana-3962	189	24	224	224	NUM
cana-3962	189	25	.	.	PUNCT
cana-3962	190	1	pre	pre	VERB
cana-3962	190	2	-	-	ADJ
cana-3962	190	3	trained	train	VERB
cana-3962	190	4	deep	deep	ADJ
cana-3962	190	5	learning	learning	NOUN
cana-3962	190	6	models	model	NOUN
cana-3962	190	7	are	be	AUX
cana-3962	190	8	loaded	load	VERB
cana-3962	190	9	.	.	PUNCT
cana-3962	191	1	feature	feature	NOUN
cana-3962	191	2	extraction	extraction	NOUN
cana-3962	191	3	is	be	AUX
cana-3962	191	4	performed	perform	VERB
cana-3962	191	5	by	by	ADP
cana-3962	191	6	these	these	DET
cana-3962	191	7	models	model	NOUN
cana-3962	191	8	individually	individually	ADV
cana-3962	191	9	and	and	CCONJ
cana-3962	191	10	then	then	ADV
cana-3962	191	11	concatenation	concatenation	NOUN
cana-3962	191	12	of	of	ADP
cana-3962	191	13	the	the	DET
cana-3962	191	14	features	feature	NOUN
cana-3962	191	15	is	be	AUX
cana-3962	191	16	performed	perform	VERB
cana-3962	191	17	using	use	VERB
cana-3962	191	18	various	various	ADJ
cana-3962	191	19	concatenation	concatenation	NOUN
cana-3962	191	20	functions	function	NOUN
cana-3962	191	21	.	.	PUNCT
cana-3962	192	1	table	table	NOUN
cana-3962	192	2	v.	v.	ADP
cana-3962	192	3	algorithm	algorithm	NOUN
cana-3962	192	4	of	of	ADP
cana-3962	192	5	methodology	methodology	NOUN
cana-3962	192	6	adopted	adopt	VERB
cana-3962	192	7	.	.	PUNCT
cana-3962	193	1	algorithm	algorithm	PROPN
cana-3962	193	2	1	1	NUM
cana-3962	193	3	.	.	PUNCT
cana-3962	193	4	load	load	NOUN
cana-3962	193	5	dataset	dataset	NOUN
cana-3962	193	6	img_width	img_width	NOUN
cana-3962	193	7	,	,	PUNCT
cana-3962	193	8	img_height	img_height	NOUN
cana-3962	193	9	=	=	SYM
cana-3962	193	10	224	224	NUM
cana-3962	193	11	,	,	PUNCT
cana-3962	193	12	224	224	NUM
cana-3962	193	13	2	2	NUM
cana-3962	193	14	.	.	PUNCT
cana-3962	194	1	import	import	NOUN
cana-3962	194	2	libraries	library	NOUN
cana-3962	194	3	tensorflow	tensorflow	PROPN
cana-3962	194	4	,	,	PUNCT
cana-3962	194	5	keras	keras	PROPN
cana-3962	194	6	,	,	PUNCT
cana-3962	194	7	or	or	CCONJ
cana-3962	194	8	pytorch	pytorch	NOUN
cana-3962	194	9	.	.	PUNCT
cana-3962	195	1	3	3	X
cana-3962	195	2	.	.	X
cana-3962	195	3	load	load	NOUN
cana-3962	195	4	pre	pre	VERB
cana-3962	195	5	-	-	ADJ
cana-3962	195	6	trained	train	VERB
cana-3962	195	7	mobilenetv2	mobilenetv2	NOUN
cana-3962	195	8	and	and	CCONJ
cana-3962	195	9	densenet121	densenet121	PROPN
cana-3962	195	10	models	model	NOUN
cana-3962	195	11	mobile_net	mobile_net	NOUN
cana-3962	195	12	=	=	SYM
cana-3962	195	13	mobilenetv2	mobilenetv2	PROPN
cana-3962	195	14	(	(	PUNCT
cana-3962	195	15	)	)	PUNCT
cana-3962	195	16	dense_net	dense_net	NOUN
cana-3962	195	17	=	=	SYM
cana-3962	195	18	densenet121	densenet121	PROPN
cana-3962	195	19	(	(	PUNCT
cana-3962	195	20	)	)	PUNCT
cana-3962	195	21	4	4	X
cana-3962	195	22	.	.	X
cana-3962	195	23	concatenate	concatenate	VERB
cana-3962	195	24	the	the	DET
cana-3962	195	25	features	feature	NOUN
cana-3962	195	26	concatenate()([mobile_net_output	concatenate()([mobile_net_output	VERB
cana-3962	195	27	,	,	PUNCT
cana-3962	195	28	dense_net_output	dense_net_output	VERB
cana-3962	195	29	]	]	PUNCT
cana-3962	195	30	)	)	PUNCT
cana-3962	195	31	5	5	X
cana-3962	195	32	.	.	PUNCT
cana-3962	195	33	add	add	VERB
cana-3962	195	34	dense	dense	ADJ
cana-3962	195	35	layers	layer	NOUN
cana-3962	195	36	for	for	ADP
cana-3962	195	37	classification	classification	NOUN
cana-3962	195	38	fc+	fc+	NOUN
cana-3962	195	39	softmax	softmax	NOUN
cana-3962	195	40	layer	layer	NOUN
cana-3962	195	41	6	6	NUM
cana-3962	195	42	.	.	PUNCT
cana-3962	196	1	build	build	VERB
cana-3962	196	2	final	final	ADJ
cana-3962	196	3	model	model	NOUN
cana-3962	196	4	model(inputs=[mobile_net.input	model(inputs=[mobile_net.input	NOUN
cana-3962	196	5	,	,	PUNCT
cana-3962	196	6	dense_net.input	dense_net.input	PROPN
cana-3962	196	7	]	]	PUNCT
cana-3962	196	8	,	,	PUNCT
cana-3962	196	9	outputs	output	NOUN
cana-3962	196	10	=	=	SYM
cana-3962	196	11	output	output	NOUN
cana-3962	196	12	)	)	PUNCT
cana-3962	196	13	7	7	NUM
cana-3962	196	14	.	.	PUNCT
cana-3962	196	15	model	model	NOUN
cana-3962	196	16	compilation	compilation	PROPN
cana-3962	196	17	model.compile	model.compile	PROPN
cana-3962	196	18	(	(	PUNCT
cana-3962	196	19	)	)	PUNCT
cana-3962	196	20	8	8	NUM
cana-3962	196	21	.	.	PUNCT
cana-3962	196	22	model	model	NOUN
cana-3962	196	23	training	training	NOUN
cana-3962	196	24	model.fit	model.fit	PROPN
cana-3962	196	25	(	(	PUNCT
cana-3962	196	26	)	)	PUNCT
cana-3962	196	27	communications	communication	NOUN
cana-3962	196	28	on	on	ADP
cana-3962	196	29	applied	apply	VERB
cana-3962	196	30	nonlinear	nonlinear	ADJ
cana-3962	196	31	analysis	analysis	NOUN
cana-3962	196	32	issn	issn	NOUN
cana-3962	196	33	:	:	PUNCT
cana-3962	196	34	1074	1074	NUM
cana-3962	196	35	-	-	PUNCT
cana-3962	196	36	133x	133x	NUM
cana-3962	196	37	vol	vol	NOUN
cana-3962	196	38	32	32	NUM
cana-3962	197	1	no	no	NOUN
cana-3962	197	2	.	.	PUNCT
cana-3962	198	1	9s	9s	NUM
cana-3962	198	2	(	(	PUNCT
cana-3962	198	3	2025	2025	NUM
cana-3962	198	4	)	)	PUNCT
cana-3962	198	5	536	536	NUM
cana-3962	198	6	https://internationalpubls.com	https://internationalpubls.com	SYM
cana-3962	198	7	3.5	3.5	NUM
cana-3962	198	8	evaluation	evaluation	NOUN
cana-3962	198	9	parameters	parameter	NOUN
cana-3962	198	10	for	for	ADP
cana-3962	198	11	evaluation	evaluation	NOUN
cana-3962	198	12	of	of	ADP
cana-3962	198	13	the	the	DET
cana-3962	198	14	proposed	propose	VERB
cana-3962	198	15	model	model	NOUN
cana-3962	198	16	,	,	PUNCT
cana-3962	198	17	8	8	NUM
cana-3962	198	18	well	well	ADV
cana-3962	198	19	-	-	PUNCT
cana-3962	198	20	known	know	VERB
cana-3962	198	21	metrics	metric	NOUN
cana-3962	198	22	are	be	AUX
cana-3962	198	23	used	use	VERB
cana-3962	198	24	in	in	ADP
cana-3962	198	25	our	our	PRON
cana-3962	198	26	study	study	NOUN
cana-3962	198	27	:	:	PUNCT
cana-3962	198	28	•	•	NUM
cana-3962	198	29	accuracy	accuracy	NOUN
cana-3962	198	30	:	:	PUNCT
cana-3962	198	31	the	the	DET
cana-3962	198	32	overall	overall	ADJ
cana-3962	198	33	number	number	NOUN
cana-3962	198	34	of	of	ADP
cana-3962	198	35	correctly	correctly	ADV
cana-3962	198	36	identified	identify	VERB
cana-3962	198	37	instances	instance	NOUN
cana-3962	198	38	across	across	ADP
cana-3962	198	39	all	all	DET
cana-3962	198	40	instances	instance	NOUN
cana-3962	198	41	.	.	PUNCT
cana-3962	199	1	•	•	NUM
cana-3962	199	2	sensitivity	sensitivity	NOUN
cana-3962	199	3	:	:	PUNCT
cana-3962	199	4	(	(	PUNCT
cana-3962	199	5	also	also	ADV
cana-3962	199	6	known	know	VERB
cana-3962	199	7	as	as	ADP
cana-3962	199	8	recall	recall	NOUN
cana-3962	199	9	):	):	PUNCT
cana-3962	199	10	ratio	ratio	NOUN
cana-3962	199	11	of	of	ADP
cana-3962	199	12	true	true	ADJ
cana-3962	199	13	positive	positive	ADJ
cana-3962	199	14	instances	instance	NOUN
cana-3962	199	15	over	over	ADP
cana-3962	199	16	the	the	DET
cana-3962	199	17	actual	actual	ADJ
cana-3962	199	18	number	number	NOUN
cana-3962	199	19	of	of	ADP
cana-3962	199	20	positive	positive	ADJ
cana-3962	199	21	instances	instance	NOUN
cana-3962	199	22	.	.	PUNCT
cana-3962	200	1	•	•	NUM
cana-3962	200	2	specificity	specificity	NOUN
cana-3962	200	3	:	:	PUNCT
cana-3962	200	4	ratio	ratio	NOUN
cana-3962	200	5	of	of	ADP
cana-3962	200	6	“	"	PUNCT
cana-3962	200	7	true	true	ADJ
cana-3962	200	8	negative	negative	ADJ
cana-3962	200	9	”	"	PUNCT
cana-3962	200	10	values	value	NOUN
cana-3962	200	11	in	in	ADP
cana-3962	200	12	all	all	DET
cana-3962	200	13	cases	case	NOUN
cana-3962	200	14	that	that	PRON
cana-3962	200	15	do	do	AUX
cana-3962	200	16	not	not	PART
cana-3962	200	17	belong	belong	VERB
cana-3962	200	18	to	to	ADP
cana-3962	200	19	this	this	DET
cana-3962	200	20	class	class	NOUN
cana-3962	200	21	.	.	PUNCT
cana-3962	201	1	•	•	NUM
cana-3962	201	2	precision	precision	NOUN
cana-3962	201	3	:	:	PUNCT
cana-3962	202	1	ratio	ratio	NOUN
cana-3962	202	2	of	of	ADP
cana-3962	202	3	true	true	ADJ
cana-3962	202	4	positive	positive	ADJ
cana-3962	202	5	instances	instance	NOUN
cana-3962	202	6	over	over	ADP
cana-3962	202	7	the	the	DET
cana-3962	202	8	total	total	ADJ
cana-3962	202	9	number	number	NOUN
cana-3962	202	10	of	of	ADP
cana-3962	202	11	positive	positive	ADJ
cana-3962	202	12	instances	instance	NOUN
cana-3962	202	13	.	.	PUNCT
cana-3962	203	1	•	•	NUM
cana-3962	203	2	f1score	f1score	NOUN
cana-3962	203	3	:	:	PUNCT
cana-3962	203	4	harmonic	harmonic	ADJ
cana-3962	203	5	mean	mean	NOUN
cana-3962	203	6	of	of	ADP
cana-3962	203	7	precision	precision	NOUN
cana-3962	203	8	and	and	CCONJ
cana-3962	203	9	recall	recall	VERB
cana-3962	204	1	[	[	X
cana-3962	204	2	[	[	X
cana-3962	204	3	17	17	NUM
cana-3962	204	4	]	]	SYM
cana-3962	204	5	]	]	PUNCT
cana-3962	204	6	.	.	PUNCT
cana-3962	205	1	•	•	NUM
cana-3962	205	2	roc	roc	NOUN
cana-3962	205	3	:	:	PUNCT
cana-3962	205	4	receiver	receiver	ADJ
cana-3962	205	5	operating	operate	VERB
cana-3962	205	6	characteristic	characteristic	NOUN
cana-3962	205	7	(	(	PUNCT
cana-3962	205	8	roc	roc	PROPN
cana-3962	205	9	)	)	PUNCT
cana-3962	205	10	curve	curve	NOUN
cana-3962	205	11	illustrates	illustrate	VERB
cana-3962	205	12	how	how	SCONJ
cana-3962	205	13	effectively	effectively	ADV
cana-3962	205	14	a	a	DET
cana-3962	205	15	binary	binary	PROPN
cana-3962	205	16	classifier	classifier	PROPN
cana-3962	205	17	model	model	PROPN
cana-3962	205	18	works	work	VERB
cana-3962	205	19	at	at	ADP
cana-3962	205	20	various	various	ADJ
cana-3962	205	21	threshold	threshold	NOUN
cana-3962	205	22	settings	setting	NOUN
cana-3962	205	23	.	.	PUNCT
cana-3962	206	1	for	for	ADP
cana-3962	206	2	every	every	DET
cana-3962	206	3	threshold	threshold	NOUN
cana-3962	206	4	setting	setting	NOUN
cana-3962	206	5	,	,	PUNCT
cana-3962	206	6	it	it	PRON
cana-3962	206	7	plots	plot	VERB
cana-3962	206	8	the	the	DET
cana-3962	206	9	true	true	ADJ
cana-3962	206	10	positive	positive	ADJ
cana-3962	206	11	rate	rate	NOUN
cana-3962	206	12	(	(	PUNCT
cana-3962	206	13	tpr	tpr	NOUN
cana-3962	206	14	)	)	PUNCT
cana-3962	206	15	against	against	ADP
cana-3962	206	16	the	the	DET
cana-3962	206	17	false	false	ADJ
cana-3962	206	18	positive	positive	ADJ
cana-3962	206	19	rate	rate	NOUN
cana-3962	206	20	(	(	PUNCT
cana-3962	206	21	fpr	fpr	NOUN
cana-3962	206	22	)	)	PUNCT
cana-3962	206	23	.	.	PUNCT
cana-3962	207	1	area	area	NOUN
cana-3962	207	2	under	under	ADP
cana-3962	207	3	the	the	DET
cana-3962	207	4	curve	curve	NOUN
cana-3962	207	5	(	(	PUNCT
cana-3962	207	6	auc	auc	NOUN
cana-3962	207	7	)	)	PUNCT
cana-3962	207	8	score	score	NOUN
cana-3962	207	9	help	help	NOUN
cana-3962	207	10	to	to	PART
cana-3962	207	11	evaluate	evaluate	VERB
cana-3962	207	12	the	the	DET
cana-3962	207	13	model	model	NOUN
cana-3962	207	14	performance	performance	NOUN
cana-3962	207	15	ranging	range	VERB
cana-3962	207	16	from	from	ADP
cana-3962	207	17	0	0	NUM
cana-3962	207	18	to	to	ADP
cana-3962	207	19	1	1	NUM
cana-3962	208	1	[	[	X
cana-3962	208	2	[	[	X
cana-3962	208	3	18	18	NUM
cana-3962	208	4	]	]	SYM
cana-3962	208	5	]	]	X
cana-3962	208	6	.	.	PUNCT
cana-3962	209	1	4	4	X
cana-3962	209	2	.	.	X
cana-3962	209	3	results	result	NOUN
cana-3962	209	4	we	we	PRON
cana-3962	209	5	have	have	AUX
cana-3962	209	6	compared	compare	VERB
cana-3962	209	7	various	various	ADJ
cana-3962	209	8	methods	method	NOUN
cana-3962	209	9	of	of	ADP
cana-3962	209	10	combining	combine	VERB
cana-3962	209	11	features	feature	NOUN
cana-3962	209	12	extracted	extract	VERB
cana-3962	209	13	from	from	ADP
cana-3962	209	14	two	two	NUM
cana-3962	209	15	cnn	cnn	PROPN
cana-3962	209	16	models	model	NOUN
cana-3962	209	17	i.e.	i.e.	X
cana-3962	209	18	densenet121	densenet121	PROPN
cana-3962	210	1	and	and	CCONJ
cana-3962	210	2	mobilenetv2	mobilenetv2	PROPN
cana-3962	210	3	.	.	PUNCT
cana-3962	211	1	we	we	PRON
cana-3962	211	2	have	have	AUX
cana-3962	211	3	chosen	choose	VERB
cana-3962	211	4	these	these	DET
cana-3962	211	5	two	two	NUM
cana-3962	211	6	models	model	NOUN
cana-3962	211	7	among	among	ADP
cana-3962	211	8	5	5	NUM
cana-3962	211	9	models	model	NOUN
cana-3962	211	10	(	(	PUNCT
cana-3962	211	11	resnet50	resnet50	NOUN
cana-3962	211	12	,	,	PUNCT
cana-3962	211	13	vgg16	vgg16	PROPN
cana-3962	211	14	,	,	PUNCT
cana-3962	211	15	densenet121	densenet121	PROPN
cana-3962	211	16	,	,	PUNCT
cana-3962	211	17	mobilenetv2	mobilenetv2	NOUN
cana-3962	211	18	,	,	PUNCT
cana-3962	211	19	inceptionv3	inceptionv3	PROPN
cana-3962	211	20	)	)	PUNCT
cana-3962	211	21	by	by	ADP
cana-3962	211	22	comparing	compare	VERB
cana-3962	211	23	the	the	DET
cana-3962	211	24	accuracy	accuracy	NOUN
cana-3962	211	25	performance	performance	NOUN
cana-3962	211	26	and	and	CCONJ
cana-3962	211	27	considerations	consideration	NOUN
cana-3962	211	28	like	like	ADP
cana-3962	211	29	computational	computational	ADJ
cana-3962	211	30	cost	cost	NOUN
cana-3962	211	31	,	,	PUNCT
cana-3962	211	32	memory	memory	NOUN
cana-3962	211	33	usage	usage	NOUN
cana-3962	211	34	etc	etc	X
cana-3962	211	35	.	.	PUNCT
cana-3962	212	1	mobilenetv2	mobilenetv2	PROPN
cana-3962	212	2	is	be	AUX
cana-3962	212	3	ideal	ideal	ADJ
cana-3962	212	4	for	for	ADP
cana-3962	212	5	lowering	lower	VERB
cana-3962	212	6	resource	resource	NOUN
cana-3962	212	7	usage	usage	NOUN
cana-3962	212	8	because	because	SCONJ
cana-3962	212	9	it	it	PRON
cana-3962	212	10	is	be	AUX
cana-3962	212	11	very	very	ADV
cana-3962	212	12	memory	memory	NOUN
cana-3962	212	13	-	-	PUNCT
cana-3962	212	14	efficient	efficient	ADJ
cana-3962	212	15	and	and	CCONJ
cana-3962	212	16	computationally	computationally	ADV
cana-3962	212	17	light	light	ADJ
cana-3962	212	18	.	.	PUNCT
cana-3962	213	1	because	because	SCONJ
cana-3962	213	2	of	of	ADP
cana-3962	213	3	its	its	PRON
cana-3962	213	4	depth	depth	NOUN
cana-3962	213	5	wise	wise	ADJ
cana-3962	213	6	separable	separable	ADJ
cana-3962	213	7	convolutions	convolution	NOUN
cana-3962	213	8	,	,	PUNCT
cana-3962	213	9	mobilenetv2	mobilenetv2	PROPN
cana-3962	213	10	is	be	AUX
cana-3962	213	11	efficient	efficient	ADJ
cana-3962	213	12	at	at	ADP
cana-3962	213	13	extracting	extract	VERB
cana-3962	213	14	low	low	ADJ
cana-3962	213	15	-	-	PUNCT
cana-3962	213	16	level	level	NOUN
cana-3962	213	17	and	and	CCONJ
cana-3962	213	18	mid	mid	ADJ
cana-3962	213	19	-	-	ADJ
cana-3962	213	20	level	level	ADJ
cana-3962	213	21	features	feature	NOUN
cana-3962	213	22	.	.	PUNCT
cana-3962	214	1	densenet121	densenet121	PROPN
cana-3962	214	2	minimises	minimise	NOUN
cana-3962	214	3	the	the	DET
cana-3962	214	4	number	number	NOUN
cana-3962	214	5	of	of	ADP
cana-3962	214	6	parameters	parameter	NOUN
cana-3962	214	7	and	and	CCONJ
cana-3962	214	8	avoids	avoid	VERB
cana-3962	214	9	the	the	DET
cana-3962	214	10	vanishing	vanish	VERB
cana-3962	214	11	gradient	gradient	NOUN
cana-3962	214	12	issue	issue	NOUN
cana-3962	214	13	by	by	ADP
cana-3962	214	14	promoting	promote	VERB
cana-3962	214	15	feature	feature	NOUN
cana-3962	214	16	reuse	reuse	NOUN
cana-3962	214	17	through	through	ADP
cana-3962	214	18	dense	dense	ADJ
cana-3962	214	19	connections	connection	NOUN
cana-3962	214	20	.	.	PUNCT
cana-3962	215	1	because	because	SCONJ
cana-3962	215	2	of	of	ADP
cana-3962	215	3	its	its	PRON
cana-3962	215	4	densely	densely	ADV
cana-3962	215	5	connected	connected	ADJ
cana-3962	215	6	layers	layer	NOUN
cana-3962	215	7	,	,	PUNCT
cana-3962	215	8	densenet121	densenet121	PROPN
cana-3962	215	9	is	be	AUX
cana-3962	215	10	excellent	excellent	ADJ
cana-3962	215	11	at	at	ADP
cana-3962	215	12	extracting	extract	VERB
cana-3962	215	13	deeper	deep	ADJ
cana-3962	215	14	and	and	CCONJ
cana-3962	215	15	higher	high	ADJ
cana-3962	215	16	-	-	PUNCT
cana-3962	215	17	level	level	NOUN
cana-3962	215	18	features	feature	NOUN
cana-3962	215	19	.	.	PUNCT
cana-3962	216	1	by	by	ADP
cana-3962	216	2	combining	combine	VERB
cana-3962	216	3	them	they	PRON
cana-3962	216	4	,	,	PUNCT
cana-3962	216	5	a	a	DET
cana-3962	216	6	rich	rich	ADJ
cana-3962	216	7	and	and	CCONJ
cana-3962	216	8	varied	varied	ADJ
cana-3962	216	9	feature	feature	NOUN
cana-3962	216	10	representation	representation	NOUN
cana-3962	216	11	is	be	AUX
cana-3962	216	12	produced	produce	VERB
cana-3962	216	13	,	,	PUNCT
cana-3962	216	14	enhancing	enhance	VERB
cana-3962	216	15	model	model	NOUN
cana-3962	216	16	performance	performance	NOUN
cana-3962	216	17	without	without	ADP
cana-3962	216	18	putting	put	VERB
cana-3962	216	19	excessive	excessive	ADJ
cana-3962	216	20	computational	computational	ADJ
cana-3962	216	21	burden	burden	NOUN
cana-3962	216	22	.	.	PUNCT
cana-3962	217	1	the	the	DET
cana-3962	217	2	combined	combine	VERB
cana-3962	217	3	features	feature	NOUN
cana-3962	217	4	extracted	extract	VERB
cana-3962	217	5	from	from	ADP
cana-3962	217	6	both	both	DET
cana-3962	217	7	the	the	DET
cana-3962	217	8	models	model	NOUN
cana-3962	217	9	are	be	AUX
cana-3962	217	10	then	then	ADV
cana-3962	217	11	used	use	VERB
cana-3962	217	12	for	for	ADP
cana-3962	217	13	classification	classification	NOUN
cana-3962	217	14	of	of	ADP
cana-3962	217	15	monkeypox	monkeypox	NOUN
cana-3962	217	16	on	on	ADP
cana-3962	217	17	two	two	NUM
cana-3962	217	18	datasets	dataset	NOUN
cana-3962	217	19	used	use	VERB
cana-3962	217	20	.	.	PUNCT
cana-3962	218	1	for	for	ADP
cana-3962	218	2	combining	combine	VERB
cana-3962	218	3	features	feature	NOUN
cana-3962	218	4	,	,	PUNCT
cana-3962	218	5	5	5	NUM
cana-3962	218	6	feature	feature	NOUN
cana-3962	218	7	fusion	fusion	NOUN
cana-3962	218	8	techniques	technique	NOUN
cana-3962	218	9	(	(	PUNCT
cana-3962	218	10	simple	simple	ADJ
cana-3962	218	11	,	,	PUNCT
cana-3962	218	12	weighted	weighted	ADJ
cana-3962	218	13	,	,	PUNCT
cana-3962	218	14	average	average	ADJ
cana-3962	218	15	,	,	PUNCT
cana-3962	218	16	multiplicative	multiplicative	ADJ
cana-3962	218	17	,	,	PUNCT
cana-3962	218	18	additive	additive	ADJ
cana-3962	218	19	and	and	CCONJ
cana-3962	218	20	gated	gate	VERB
cana-3962	218	21	)	)	PUNCT
cana-3962	218	22	were	be	AUX
cana-3962	218	23	utilised	utilise	VERB
cana-3962	218	24	.	.	PUNCT
cana-3962	219	1	out	out	ADP
cana-3962	219	2	of	of	ADP
cana-3962	219	3	these	these	PRON
cana-3962	219	4	,	,	PUNCT
cana-3962	219	5	multiplicative	multiplicative	ADJ
cana-3962	219	6	feature	feature	NOUN
cana-3962	219	7	fusion	fusion	NOUN
cana-3962	219	8	performs	perform	VERB
cana-3962	219	9	well	well	ADV
cana-3962	219	10	in	in	ADP
cana-3962	219	11	terms	term	NOUN
cana-3962	219	12	of	of	ADP
cana-3962	219	13	accuracy	accuracy	NOUN
cana-3962	219	14	,	,	PUNCT
cana-3962	219	15	recall	recall	NOUN
cana-3962	219	16	and	and	CCONJ
cana-3962	219	17	f1	f1	NOUN
cana-3962	219	18	-	-	PUNCT
cana-3962	219	19	score	score	NOUN
cana-3962	219	20	.	.	PUNCT
cana-3962	220	1	although	although	SCONJ
cana-3962	220	2	6	6	NUM
cana-3962	220	3	evaluation	evaluation	NOUN
cana-3962	220	4	metrics	metric	NOUN
cana-3962	220	5	have	have	AUX
cana-3962	220	6	been	be	AUX
cana-3962	220	7	used	use	VERB
cana-3962	220	8	in	in	ADP
cana-3962	220	9	our	our	PRON
cana-3962	220	10	study	study	NOUN
cana-3962	220	11	:	:	PUNCT
cana-3962	220	12	test	test	NOUN
cana-3962	220	13	accuracy	accuracy	NOUN
cana-3962	220	14	,	,	PUNCT
cana-3962	220	15	f1	f1	NOUN
cana-3962	220	16	-	-	PUNCT
cana-3962	220	17	score	score	NOUN
cana-3962	220	18	,	,	PUNCT
cana-3962	220	19	precision	precision	NOUN
cana-3962	220	20	,	,	PUNCT
cana-3962	220	21	recall	recall	NOUN
cana-3962	220	22	,	,	PUNCT
cana-3962	220	23	roc	roc	PROPN
cana-3962	220	24	,	,	PUNCT
cana-3962	220	25	auc	auc	ADJ
cana-3962	220	26	score	score	NOUN
cana-3962	220	27	.	.	PUNCT
cana-3962	221	1	multiplicative	multiplicative	ADJ
cana-3962	221	2	feature	feature	NOUN
cana-3962	221	3	fusion	fusion	NOUN
cana-3962	221	4	often	often	ADV
cana-3962	221	5	yields	yield	VERB
cana-3962	221	6	higher	high	ADJ
cana-3962	221	7	accuracy	accuracy	NOUN
cana-3962	221	8	in	in	ADP
cana-3962	221	9	combining	combine	VERB
cana-3962	221	10	features	feature	NOUN
cana-3962	221	11	from	from	ADP
cana-3962	221	12	two	two	NUM
cana-3962	221	13	deep	deep	ADJ
cana-3962	221	14	learning	learning	NOUN
cana-3962	221	15	models	model	NOUN
cana-3962	221	16	because	because	SCONJ
cana-3962	221	17	it	it	PRON
cana-3962	221	18	focusses	focusse	VERB
cana-3962	221	19	feature	feature	VERB
cana-3962	221	20	interactions	interaction	NOUN
cana-3962	221	21	on	on	ADP
cana-3962	221	22	a	a	DET
cana-3962	221	23	way	way	NOUN
cana-3962	221	24	that	that	PRON
cana-3962	221	25	shows	show	VERB
cana-3962	221	26	mutual	mutual	ADJ
cana-3962	221	27	relevance	relevance	NOUN
cana-3962	221	28	and	and	CCONJ
cana-3962	221	29	interdependencies	interdependency	NOUN
cana-3962	221	30	.	.	PUNCT
cana-3962	222	1	noise	noise	NOUN
cana-3962	222	2	is	be	AUX
cana-3962	222	3	reduced	reduce	VERB
cana-3962	222	4	when	when	SCONJ
cana-3962	222	5	weak	weak	ADJ
cana-3962	222	6	or	or	CCONJ
cana-3962	222	7	irrelevant	irrelevant	ADJ
cana-3962	222	8	features	feature	NOUN
cana-3962	222	9	from	from	ADP
cana-3962	222	10	one	one	NUM
cana-3962	222	11	model	model	NOUN
cana-3962	222	12	are	be	AUX
cana-3962	222	13	multiplied	multiply	VERB
cana-3962	222	14	by	by	ADP
cana-3962	222	15	strong	strong	ADJ
cana-3962	222	16	features	feature	NOUN
cana-3962	222	17	from	from	ADP
cana-3962	222	18	the	the	DET
cana-3962	222	19	other	other	ADJ
cana-3962	222	20	model	model	NOUN
cana-3962	222	21	.	.	PUNCT
cana-3962	223	1	this	this	DET
cana-3962	223	2	method	method	NOUN
cana-3962	223	3	creates	create	VERB
cana-3962	223	4	a	a	DET
cana-3962	223	5	richer	rich	ADJ
cana-3962	223	6	feature	feature	NOUN
cana-3962	223	7	space	space	NOUN
cana-3962	223	8	compared	compare	VERB
cana-3962	223	9	to	to	ADP
cana-3962	223	10	simple	simple	ADJ
cana-3962	223	11	concatenation	concatenation	NOUN
cana-3962	223	12	,	,	PUNCT
cana-3962	223	13	which	which	PRON
cana-3962	223	14	merely	merely	ADV
cana-3962	223	15	aggregates	aggregate	VERB
cana-3962	223	16	features	feature	NOUN
cana-3962	223	17	.	.	PUNCT
cana-3962	224	1	it	it	PRON
cana-3962	224	2	maintains	maintain	VERB
cana-3962	224	3	the	the	DET
cana-3962	224	4	dimensionality	dimensionality	NOUN
cana-3962	224	5	of	of	ADP
cana-3962	224	6	the	the	DET
cana-3962	224	7	feature	feature	NOUN
cana-3962	224	8	space	space	NOUN
cana-3962	224	9	consistent	consistent	ADJ
cana-3962	224	10	with	with	ADP
cana-3962	224	11	the	the	DET
cana-3962	224	12	original	original	ADJ
cana-3962	224	13	features	feature	NOUN
cana-3962	224	14	,	,	PUNCT
cana-3962	224	15	in	in	ADP
cana-3962	224	16	contrast	contrast	NOUN
cana-3962	224	17	to	to	ADP
cana-3962	224	18	concatenation	concatenation	NOUN
cana-3962	224	19	,	,	PUNCT
cana-3962	224	20	which	which	PRON
cana-3962	224	21	increases	increase	VERB
cana-3962	224	22	the	the	DET
cana-3962	224	23	dimensionality	dimensionality	NOUN
cana-3962	224	24	of	of	ADP
cana-3962	224	25	the	the	DET
cana-3962	224	26	feature	feature	NOUN
cana-3962	224	27	space	space	NOUN
cana-3962	224	28	(	(	PUNCT
cana-3962	224	29	perhaps	perhaps	ADV
cana-3962	224	30	resulting	result	VERB
cana-3962	224	31	in	in	ADP
cana-3962	224	32	overfitting	overfitte	VERB
cana-3962	224	33	or	or	CCONJ
cana-3962	224	34	increased	increase	VERB
cana-3962	224	35	computing	computing	NOUN
cana-3962	224	36	costs	cost	NOUN
cana-3962	224	37	)	)	PUNCT
cana-3962	224	38	.	.	PUNCT
cana-3962	225	1	as	as	ADP
cana-3962	225	2	a	a	DET
cana-3962	225	3	result	result	NOUN
cana-3962	225	4	,	,	PUNCT
cana-3962	225	5	the	the	DET
cana-3962	225	6	model	model	NOUN
cana-3962	225	7	maintains	maintain	VERB
cana-3962	225	8	excellent	excellent	ADJ
cana-3962	225	9	performance	performance	NOUN
cana-3962	225	10	while	while	SCONJ
cana-3962	225	11	being	be	AUX
cana-3962	225	12	computationally	computationally	ADV
cana-3962	225	13	efficient	efficient	ADJ
cana-3962	225	14	.	.	PUNCT
cana-3962	226	1	even	even	ADV
cana-3962	226	2	while	while	SCONJ
cana-3962	226	3	multiplicative	multiplicative	ADJ
cana-3962	226	4	fusion	fusion	NOUN
cana-3962	226	5	provides	provide	VERB
cana-3962	226	6	benefits	benefit	NOUN
cana-3962	226	7	,	,	PUNCT
cana-3962	226	8	it	it	PRON
cana-3962	226	9	might	might	AUX
cana-3962	226	10	not	not	PART
cana-3962	226	11	be	be	AUX
cana-3962	226	12	the	the	DET
cana-3962	226	13	ideal	ideal	ADJ
cana-3962	226	14	option	option	NOUN
cana-3962	226	15	all	all	DET
cana-3962	226	16	the	the	DET
cana-3962	226	17	time	time	NOUN
cana-3962	226	18	.	.	PUNCT
cana-3962	227	1	it	it	PRON
cana-3962	227	2	necessitates	necessitate	VERB
cana-3962	227	3	communications	communication	NOUN
cana-3962	227	4	on	on	ADP
cana-3962	227	5	applied	apply	VERB
cana-3962	227	6	nonlinear	nonlinear	ADJ
cana-3962	227	7	analysis	analysis	NOUN
cana-3962	227	8	issn	issn	NOUN
cana-3962	227	9	:	:	PUNCT
cana-3962	227	10	1074	1074	NUM
cana-3962	227	11	-	-	PUNCT
cana-3962	227	12	133x	133x	NUM
cana-3962	227	13	vol	vol	NOUN
cana-3962	227	14	32	32	NUM
cana-3962	227	15	no	no	NOUN
cana-3962	227	16	.	.	PUNCT
cana-3962	228	1	9s	9s	NUM
cana-3962	228	2	(	(	PUNCT
cana-3962	228	3	2025	2025	NUM
cana-3962	228	4	)	)	PUNCT
cana-3962	228	5	537	537	NUM
cana-3962	228	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3962	228	7	careful	careful	ADJ
cana-3962	228	8	feature	feature	NOUN
cana-3962	228	9	dimension	dimension	NOUN
cana-3962	228	10	matching	matching	NOUN
cana-3962	228	11	and	and	CCONJ
cana-3962	228	12	may	may	AUX
cana-3962	228	13	suffer	suffer	VERB
cana-3962	228	14	from	from	ADP
cana-3962	228	15	poorly	poorly	ADV
cana-3962	228	16	scaled	scale	VERB
cana-3962	228	17	or	or	CCONJ
cana-3962	228	18	biased	biased	ADJ
cana-3962	228	19	features	feature	NOUN
cana-3962	228	20	in	in	ADP
cana-3962	228	21	one	one	NUM
cana-3962	228	22	model	model	NOUN
cana-3962	228	23	.	.	PUNCT
cana-3962	229	1	to	to	PART
cana-3962	229	2	ensure	ensure	VERB
cana-3962	229	3	successful	successful	ADJ
cana-3962	229	4	fusion	fusion	NOUN
cana-3962	229	5	,	,	PUNCT
cana-3962	229	6	normalisation	normalisation	NOUN
cana-3962	229	7	and	and	CCONJ
cana-3962	229	8	scaling	scale	VERB
cana-3962	229	9	algorithms	algorithm	NOUN
cana-3962	229	10	are	be	AUX
cana-3962	229	11	frequently	frequently	ADV
cana-3962	229	12	required	require	VERB
cana-3962	229	13	.	.	PUNCT
cana-3962	230	1	result	result	NOUN
cana-3962	230	2	of	of	ADP
cana-3962	230	3	all	all	DET
cana-3962	230	4	feature	feature	NOUN
cana-3962	230	5	fusion	fusion	NOUN
cana-3962	230	6	methods	method	NOUN
cana-3962	230	7	on	on	ADP
cana-3962	230	8	msld	msld	NOUN
cana-3962	230	9	dataset	dataset	NOUN
cana-3962	230	10	is	be	AUX
cana-3962	230	11	shown	show	VERB
cana-3962	230	12	in	in	ADP
cana-3962	230	13	table	table	NOUN
cana-3962	230	14	vi	vi	PROPN
cana-3962	230	15	.	.	PUNCT
cana-3962	230	16	by	by	ADP
cana-3962	230	17	the	the	DET
cana-3962	230	18	experiments	experiment	NOUN
cana-3962	230	19	it	it	PRON
cana-3962	230	20	has	have	AUX
cana-3962	230	21	been	be	AUX
cana-3962	230	22	observed	observe	VERB
cana-3962	230	23	that	that	SCONJ
cana-3962	230	24	multiplicative	multiplicative	ADJ
cana-3962	230	25	fusion	fusion	NOUN
cana-3962	230	26	method	method	NOUN
cana-3962	230	27	performs	perform	VERB
cana-3962	230	28	better	well	ADJ
cana-3962	230	29	than	than	ADP
cana-3962	230	30	other	other	ADJ
cana-3962	230	31	state	state	NOUN
cana-3962	230	32	-	-	PUNCT
cana-3962	230	33	of	of	ADP
cana-3962	230	34	-	-	PUNCT
cana-3962	230	35	art	art	NOUN
cana-3962	230	36	methods	method	NOUN
cana-3962	230	37	on	on	ADP
cana-3962	230	38	both	both	DET
cana-3962	230	39	datasets	dataset	NOUN
cana-3962	230	40	with	with	ADP
cana-3962	230	41	test	test	NOUN
cana-3962	230	42	accuracy	accuracy	NOUN
cana-3962	230	43	of	of	ADP
cana-3962	230	44	95.56	95.56	NUM
cana-3962	230	45	%	%	NOUN
cana-3962	230	46	on	on	ADP
cana-3962	230	47	msld	msld	NOUN
cana-3962	230	48	and	and	CCONJ
cana-3962	230	49	91.67	91.67	NUM
cana-3962	230	50	%	%	NOUN
cana-3962	230	51	on	on	ADP
cana-3962	230	52	msid	msid	ADJ
cana-3962	230	53	.	.	PUNCT
cana-3962	231	1	table	table	PROPN
cana-3962	231	2	vi	vi	PROPN
cana-3962	231	3	.	.	PUNCT
cana-3962	232	1	a	a	DET
cana-3962	232	2	comparison	comparison	NOUN
cana-3962	232	3	of	of	ADP
cana-3962	232	4	feature	feature	NOUN
cana-3962	232	5	fusion	fusion	NOUN
cana-3962	232	6	methods	method	NOUN
cana-3962	232	7	on	on	ADP
cana-3962	232	8	msld	msld	NOUN
cana-3962	232	9	dataset	dataset	NOUN
cana-3962	232	10	.	.	PUNCT
cana-3962	233	1	metrics	metric	NOUN
cana-3962	233	2	simple	simple	ADJ
cana-3962	233	3	concatenation	concatenation	NOUN
cana-3962	233	4	weighted	weight	VERB
cana-3962	233	5	fusion	fusion	NOUN
cana-3962	233	6	average	average	ADJ
cana-3962	233	7	fusion	fusion	NOUN
cana-3962	233	8	additive	additive	NOUN
cana-3962	233	9	fusion	fusion	NOUN
cana-3962	233	10	gated	gate	VERB
cana-3962	233	11	fusion	fusion	NOUN
cana-3962	233	12	multiplication	multiplication	NOUN
cana-3962	233	13	fusion	fusion	NOUN
cana-3962	233	14	test	test	NOUN
cana-3962	233	15	accuracy	accuracy	NOUN
cana-3962	233	16	(	(	PUNCT
cana-3962	233	17	%	%	INTJ
cana-3962	233	18	)	)	PUNCT
cana-3962	233	19	88.89	88.89	NUM
cana-3962	233	20	86.67	86.67	NUM
cana-3962	233	21	93.33	93.33	NUM
cana-3962	233	22	91.11	91.11	NUM
cana-3962	233	23	77.78	77.78	NUM
cana-3962	233	24	95.56	95.56	NUM
cana-3962	233	25	precision	precision	NOUN
cana-3962	233	26	1.00	1.00	NUM
cana-3962	233	27	1.00	1.00	NUM
cana-3962	233	28	0.958	0.958	NUM
cana-3962	233	29	0.862	0.862	NUM
cana-3962	233	30	0.714	0.714	NUM
cana-3962	233	31	0.926	0.926	NUM
cana-3962	233	32	recall	recall	NOUN
cana-3962	233	33	0.80	0.80	NUM
cana-3962	233	34	0.76	0.76	NUM
cana-3962	233	35	0.92	0.92	NUM
cana-3962	233	36	1.00	1.00	NUM
cana-3962	233	37	1.00	1.00	NUM
cana-3962	233	38	1.00	1.00	NUM
cana-3962	233	39	f1	f1	NOUN
cana-3962	233	40	-	-	PUNCT
cana-3962	233	41	score	score	NOUN
cana-3962	233	42	0.889	0.889	NUM
cana-3962	233	43	0.864	0.864	NUM
cana-3962	233	44	0.939	0.939	NUM
cana-3962	233	45	0.926	0.926	NUM
cana-3962	233	46	0.833	0.833	NUM
cana-3962	233	47	0.962	0.962	NUM
cana-3962	233	48	auc	auc	NOUN
cana-3962	233	49	score	score	NOUN
cana-3962	233	50	(	(	PUNCT
cana-3962	233	51	%	%	INTJ
cana-3962	233	52	)	)	PUNCT
cana-3962	233	53	93.00	93.00	NUM
cana-3962	233	54	88.00	88.00	NUM
cana-3962	233	55	93.00	93.00	NUM
cana-3962	233	56	90.00	90.00	NUM
cana-3962	233	57	75.00	75.00	NUM
cana-3962	233	58	95.00	95.00	NUM
cana-3962	233	59	a	a	DET
cana-3962	233	60	graphical	graphical	ADJ
cana-3962	233	61	comparison	comparison	NOUN
cana-3962	233	62	of	of	ADP
cana-3962	233	63	multiplicative	multiplicative	ADJ
cana-3962	233	64	fusion	fusion	NOUN
cana-3962	233	65	method	method	NOUN
cana-3962	233	66	with	with	ADP
cana-3962	233	67	other	other	ADJ
cana-3962	233	68	methods	method	NOUN
cana-3962	233	69	on	on	ADP
cana-3962	233	70	msld	msld	NOUN
cana-3962	233	71	datasets	dataset	NOUN
cana-3962	233	72	is	be	AUX
cana-3962	233	73	shown	show	VERB
cana-3962	233	74	in	in	ADP
cana-3962	233	75	figure	figure	NOUN
cana-3962	233	76	.	.	PUNCT
cana-3962	233	77	.	.	PUNCT
cana-3962	234	1	figure	figure	NOUN
cana-3962	234	2	.	.	PUNCT
cana-3962	235	1	3	3	X
cana-3962	235	2	.	.	X
cana-3962	235	3	results	result	NOUN
cana-3962	235	4	of	of	ADP
cana-3962	235	5	best	good	ADJ
cana-3962	235	6	performed	perform	VERB
cana-3962	235	7	fusion	fusion	NOUN
cana-3962	235	8	method	method	NOUN
cana-3962	235	9	on	on	ADP
cana-3962	235	10	msld	msld	NOUN
cana-3962	235	11	dataset	dataset	NOUN
cana-3962	235	12	.	.	PUNCT
cana-3962	236	1	confusion	confusion	NOUN
cana-3962	236	2	matrices	matrix	NOUN
cana-3962	236	3	of	of	ADP
cana-3962	236	4	fusion	fusion	NOUN
cana-3962	236	5	methods	method	NOUN
cana-3962	236	6	on	on	ADP
cana-3962	236	7	msld	msld	NOUN
cana-3962	236	8	dataset	dataset	NOUN
cana-3962	236	9	is	be	AUX
cana-3962	236	10	shown	show	VERB
cana-3962	236	11	in	in	ADP
cana-3962	236	12	figure	figure	NOUN
cana-3962	236	13	.	.	PUNCT
cana-3962	237	1	figure	figure	NOUN
cana-3962	237	2	.	.	PUNCT
cana-3962	237	3	.	.	PUNCT
cana-3962	238	1	two	two	NUM
cana-3962	238	2	categories	category	NOUN
cana-3962	238	3	classification	classification	NOUN
cana-3962	238	4	is	be	AUX
cana-3962	238	5	shown	show	VERB
cana-3962	238	6	.	.	PUNCT
cana-3962	239	1	multiplicative	multiplicative	ADJ
cana-3962	239	2	method	method	NOUN
cana-3962	239	3	has	have	VERB
cana-3962	239	4	18	18	NUM
cana-3962	239	5	true	true	ADJ
cana-3962	239	6	positive	positive	ADJ
cana-3962	239	7	(	(	PUNCT
cana-3962	239	8	tp	tp	NOUN
cana-3962	239	9	)	)	PUNCT
cana-3962	239	10	values	value	NOUN
cana-3962	239	11	and	and	CCONJ
cana-3962	239	12	25	25	NUM
cana-3962	239	13	true	true	ADJ
cana-3962	239	14	negatives	negative	NOUN
cana-3962	239	15	(	(	PUNCT
cana-3962	239	16	tn	tn	NOUN
cana-3962	239	17	)	)	PUNCT
cana-3962	239	18	in	in	ADP
cana-3962	239	19	msld	msld	NOUN
cana-3962	239	20	dataset	dataset	NOUN
cana-3962	239	21	.	.	PUNCT
cana-3962	240	1	true	true	ADJ
cana-3962	240	2	positives	positive	NOUN
cana-3962	240	3	indicate	indicate	VERB
cana-3962	240	4	correctly	correctly	ADV
cana-3962	240	5	predicted	predict	VERB
cana-3962	240	6	monkeypox	monkeypox	NOUN
cana-3962	240	7	cases	case	NOUN
cana-3962	240	8	and	and	CCONJ
cana-3962	240	9	true	true	ADJ
cana-3962	240	10	negatives	negative	NOUN
cana-3962	240	11	indicates	indicate	VERB
cana-3962	240	12	correctly	correctly	ADV
cana-3962	240	13	predicted	predict	VERB
cana-3962	240	14	non	non	ADJ
cana-3962	240	15	-	-	NOUN
cana-3962	240	16	monkeypox	monkeypox	ADJ
cana-3962	240	17	(	(	PUNCT
cana-3962	240	18	chickenpox+measles	chickenpox+measle	NOUN
cana-3962	240	19	)	)	PUNCT
cana-3962	240	20	or	or	CCONJ
cana-3962	240	21	normal	normal	ADJ
cana-3962	240	22	cases	case	NOUN
cana-3962	240	23	.	.	PUNCT
cana-3962	241	1	high	high	ADJ
cana-3962	241	2	tp	tp	NOUN
cana-3962	241	3	and	and	CCONJ
cana-3962	241	4	tn	tn	NOUN
cana-3962	241	5	values	value	NOUN
cana-3962	241	6	indicate	indicate	VERB
cana-3962	241	7	that	that	SCONJ
cana-3962	241	8	the	the	DET
cana-3962	241	9	model	model	NOUN
cana-3962	241	10	is	be	AUX
cana-3962	241	11	correctly	correctly	ADV
cana-3962	241	12	classifying	classify	VERB
cana-3962	241	13	most	most	ADJ
cana-3962	241	14	cases	case	NOUN
cana-3962	241	15	.	.	PUNCT
cana-3962	242	1	communications	communication	NOUN
cana-3962	242	2	on	on	ADP
cana-3962	242	3	applied	apply	VERB
cana-3962	242	4	nonlinear	nonlinear	ADJ
cana-3962	242	5	analysis	analysis	NOUN
cana-3962	242	6	issn	issn	NOUN
cana-3962	242	7	:	:	PUNCT
cana-3962	242	8	1074	1074	NUM
cana-3962	242	9	-	-	PUNCT
cana-3962	242	10	133x	133x	NUM
cana-3962	242	11	vol	vol	NOUN
cana-3962	242	12	32	32	NUM
cana-3962	242	13	no	no	NOUN
cana-3962	242	14	.	.	PUNCT
cana-3962	243	1	9s	9s	NUM
cana-3962	243	2	(	(	PUNCT
cana-3962	243	3	2025	2025	NUM
cana-3962	243	4	)	)	PUNCT
cana-3962	243	5	538	538	NUM
cana-3962	243	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3962	243	7	figure	figure	NOUN
cana-3962	243	8	.	.	PUNCT
cana-3962	244	1	4	4	X
cana-3962	244	2	.	.	X
cana-3962	244	3	confusion	confusion	NOUN
cana-3962	244	4	matrices	matrix	NOUN
cana-3962	244	5	of	of	ADP
cana-3962	244	6	fusion	fusion	NOUN
cana-3962	244	7	methods	method	NOUN
cana-3962	244	8	on	on	ADP
cana-3962	244	9	msld	msld	NOUN
cana-3962	244	10	(	(	PUNCT
cana-3962	244	11	a	a	NOUN
cana-3962	244	12	)	)	PUNCT
cana-3962	244	13	weighted	weight	VERB
cana-3962	244	14	(	(	PUNCT
cana-3962	244	15	b	b	NOUN
cana-3962	244	16	)	)	PUNCT
cana-3962	244	17	additive	additive	NOUN
cana-3962	244	18	(	(	PUNCT
cana-3962	244	19	c	c	NOUN
cana-3962	244	20	)	)	PUNCT
cana-3962	244	21	average	average	NOUN
cana-3962	244	22	(	(	PUNCT
cana-3962	244	23	d	d	NOUN
cana-3962	244	24	)	)	PUNCT
cana-3962	244	25	simple	simple	ADJ
cana-3962	244	26	(	(	PUNCT
cana-3962	244	27	e	e	NOUN
cana-3962	244	28	)	)	PUNCT
cana-3962	244	29	gated	gate	VERB
cana-3962	244	30	(	(	PUNCT
cana-3962	244	31	f	f	X
cana-3962	244	32	)	)	PUNCT
cana-3962	244	33	multiplicative	multiplicative	ADJ
cana-3962	244	34	next	next	ADJ
cana-3962	244	35	shown	show	VERB
cana-3962	244	36	in	in	ADP
cana-3962	244	37	figure	figure	NOUN
cana-3962	244	38	are	be	AUX
cana-3962	244	39	the	the	DET
cana-3962	244	40	roc	roc	PROPN
cana-3962	244	41	curves	curve	NOUN
cana-3962	244	42	of	of	ADP
cana-3962	244	43	all	all	DET
cana-3962	244	44	fusion	fusion	NOUN
cana-3962	244	45	methods	method	NOUN
cana-3962	244	46	on	on	ADP
cana-3962	244	47	msld	msld	NOUN
cana-3962	244	48	dataset	dataset	NOUN
cana-3962	244	49	.	.	PUNCT
cana-3962	245	1	multiplicative	multiplicative	ADJ
cana-3962	245	2	fusion	fusion	NOUN
cana-3962	245	3	method	method	NOUN
cana-3962	245	4	has	have	VERB
cana-3962	245	5	the	the	DET
cana-3962	245	6	highest	high	ADJ
cana-3962	245	7	auc	auc	ADJ
cana-3962	245	8	score	score	NOUN
cana-3962	245	9	of	of	ADP
cana-3962	245	10	0.95	0.95	NUM
cana-3962	245	11	.	.	PUNCT
cana-3962	246	1	an	an	DET
cana-3962	246	2	auc	auc	NOUN
cana-3962	246	3	closer	close	ADJ
cana-3962	246	4	to	to	ADP
cana-3962	246	5	1	1	NUM
cana-3962	246	6	indicates	indicate	VERB
cana-3962	246	7	a	a	DET
cana-3962	246	8	model	model	NOUN
cana-3962	246	9	with	with	ADP
cana-3962	246	10	excellent	excellent	ADJ
cana-3962	246	11	performance	performance	NOUN
cana-3962	246	12	.	.	PUNCT
cana-3962	247	1	figure	figure	NOUN
cana-3962	247	2	figure	figure	NOUN
cana-3962	247	3	5	5	NUM
cana-3962	247	4	.	.	PUNCT
cana-3962	248	1	roc	roc	NOUN
cana-3962	248	2	graphs	graph	NOUN
cana-3962	248	3	of	of	ADP
cana-3962	248	4	all	all	DET
cana-3962	248	5	fusion	fusion	NOUN
cana-3962	248	6	methods	method	NOUN
cana-3962	248	7	on	on	ADP
cana-3962	248	8	msld	msld	NOUN
cana-3962	248	9	(	(	PUNCT
cana-3962	248	10	a	a	NOUN
cana-3962	248	11	)	)	PUNCT
cana-3962	248	12	weighted	weight	VERB
cana-3962	248	13	(	(	PUNCT
cana-3962	248	14	b	b	NOUN
cana-3962	248	15	)	)	PUNCT
cana-3962	248	16	additive	additive	NOUN
cana-3962	248	17	(	(	PUNCT
cana-3962	248	18	c	c	NOUN
cana-3962	248	19	)	)	PUNCT
cana-3962	248	20	average	average	NOUN
cana-3962	248	21	(	(	PUNCT
cana-3962	248	22	d	d	NOUN
cana-3962	248	23	)	)	PUNCT
cana-3962	248	24	simple	simple	ADJ
cana-3962	248	25	(	(	PUNCT
cana-3962	248	26	e	e	NOUN
cana-3962	248	27	)	)	PUNCT
cana-3962	248	28	gated	gate	VERB
cana-3962	248	29	(	(	PUNCT
cana-3962	248	30	f	f	X
cana-3962	248	31	)	)	PUNCT
cana-3962	248	32	multiplicative	multiplicative	PROPN
cana-3962	248	33	next	next	ADJ
cana-3962	248	34	shown	show	VERB
cana-3962	248	35	are	be	AUX
cana-3962	248	36	the	the	DET
cana-3962	248	37	results	result	NOUN
cana-3962	248	38	obtained	obtain	VERB
cana-3962	248	39	on	on	ADP
cana-3962	248	40	msid	msid	ADJ
cana-3962	248	41	dataset	dataset	NOUN
cana-3962	248	42	.	.	PUNCT
cana-3962	249	1	a	a	DET
cana-3962	249	2	tabular	tabular	NOUN
cana-3962	249	3	representation	representation	NOUN
cana-3962	249	4	of	of	ADP
cana-3962	249	5	all	all	DET
cana-3962	249	6	feature	feature	NOUN
cana-3962	249	7	fusion	fusion	NOUN
cana-3962	249	8	methods	method	NOUN
cana-3962	249	9	on	on	ADP
cana-3962	249	10	msld	msld	NOUN
cana-3962	249	11	dataset	dataset	NOUN
cana-3962	249	12	is	be	AUX
cana-3962	249	13	shown	show	VERB
cana-3962	249	14	in	in	ADP
cana-3962	249	15	table	table	NOUN
cana-3962	249	16	vii	vii	PROPN
cana-3962	249	17	.	.	PROPN
cana-3962	249	18	table	table	PROPN
cana-3962	249	19	vii	vii	PROPN
cana-3962	249	20	.	.	PUNCT
cana-3962	250	1	a	a	DET
cana-3962	250	2	comparison	comparison	NOUN
cana-3962	250	3	of	of	ADP
cana-3962	250	4	feature	feature	NOUN
cana-3962	250	5	fusion	fusion	NOUN
cana-3962	250	6	methods	method	NOUN
cana-3962	250	7	on	on	ADP
cana-3962	250	8	msid	msid	ADJ
cana-3962	250	9	dataset	dataset	NOUN
cana-3962	250	10	.	.	PUNCT
cana-3962	251	1	metrics	metric	NOUN
cana-3962	251	2	simple	simple	ADJ
cana-3962	251	3	concatenation	concatenation	NOUN
cana-3962	251	4	weighted	weight	VERB
cana-3962	251	5	fusion	fusion	NOUN
cana-3962	251	6	average	average	ADJ
cana-3962	251	7	fusion	fusion	NOUN
cana-3962	251	8	additive	additive	NOUN
cana-3962	251	9	fusion	fusion	NOUN
cana-3962	251	10	gated	gate	VERB
cana-3962	251	11	fusion	fusion	NOUN
cana-3962	251	12	multiplicative	multiplicative	ADJ
cana-3962	251	13	fusion	fusion	NOUN
cana-3962	251	14	test	test	NOUN
cana-3962	251	15	accuracy	accuracy	NOUN
cana-3962	251	16	(	(	PUNCT
cana-3962	251	17	%	%	INTJ
cana-3962	251	18	)	)	PUNCT
cana-3962	251	19	83.33	83.33	NUM
cana-3962	251	20	91.65	91.65	NUM
cana-3962	251	21	89.58	89.58	NUM
cana-3962	251	22	85.42	85.42	NUM
cana-3962	251	23	86.46	86.46	NUM
cana-3962	251	24	91.67	91.67	NUM
cana-3962	251	25	precision	precision	NOUN
cana-3962	251	26	0.833	0.833	NUM
cana-3962	251	27	0.881	0.881	NUM
cana-3962	251	28	0.857	0.857	NUM
cana-3962	251	29	0.795	0.795	NUM
cana-3962	251	30	0.829	0.829	NUM
cana-3962	251	31	0.90	0.90	NUM
cana-3962	251	32	recall	recall	NOUN
cana-3962	251	33	0.75	0.75	NUM
cana-3962	251	34	0.925	0.925	NUM
cana-3962	251	35	0.90	0.90	NUM
cana-3962	251	36	0.875	0.875	NUM
cana-3962	251	37	0.85	0.85	NUM
cana-3962	251	38	0.90	0.90	NUM
cana-3962	251	39	f1	f1	NOUN
cana-3962	251	40	-	-	PUNCT
cana-3962	251	41	score	score	NOUN
cana-3962	251	42	0.789	0.789	NUM
cana-3962	251	43	0.902	0.902	NUM
cana-3962	251	44	0.878	0.878	NUM
cana-3962	251	45	0.833	0.833	NUM
cana-3962	251	46	0.84	0.84	NUM
cana-3962	251	47	0.90	0.90	NUM
cana-3962	251	48	auc	auc	NOUN
cana-3962	251	49	score	score	NOUN
cana-3962	251	50	(	(	PUNCT
cana-3962	251	51	%	%	INTJ
cana-3962	251	52	)	)	PUNCT
cana-3962	251	53	82.00	82.00	NUM
cana-3962	251	54	92.00	92.00	NUM
cana-3962	251	55	90.00	90.00	NUM
cana-3962	251	56	86.00	86.00	NUM
cana-3962	251	57	86.00	86.00	NUM
cana-3962	251	58	91.00	91.00	NUM
cana-3962	251	59	a	a	DET
cana-3962	251	60	graphical	graphical	ADJ
cana-3962	251	61	comparison	comparison	NOUN
cana-3962	251	62	of	of	ADP
cana-3962	251	63	multiplicative	multiplicative	ADJ
cana-3962	251	64	fusion	fusion	NOUN
cana-3962	251	65	method	method	NOUN
cana-3962	251	66	with	with	ADP
cana-3962	251	67	other	other	ADJ
cana-3962	251	68	methods	method	NOUN
cana-3962	251	69	on	on	ADP
cana-3962	251	70	msid	msid	ADJ
cana-3962	251	71	datasets	dataset	NOUN
cana-3962	251	72	is	be	AUX
cana-3962	251	73	shown	show	VERB
cana-3962	251	74	in	in	ADP
cana-3962	251	75	figure	figure	NOUN
cana-3962	251	76	.	.	PUNCT
cana-3962	252	1	communications	communication	NOUN
cana-3962	252	2	on	on	ADP
cana-3962	252	3	applied	apply	VERB
cana-3962	252	4	nonlinear	nonlinear	ADJ
cana-3962	252	5	analysis	analysis	NOUN
cana-3962	252	6	issn	issn	NOUN
cana-3962	252	7	:	:	PUNCT
cana-3962	252	8	1074	1074	NUM
cana-3962	252	9	-	-	PUNCT
cana-3962	252	10	133x	133x	NUM
cana-3962	252	11	vol	vol	NOUN
cana-3962	252	12	32	32	NUM
cana-3962	252	13	no	no	NOUN
cana-3962	252	14	.	.	PUNCT
cana-3962	253	1	9s	9s	NUM
cana-3962	253	2	(	(	PUNCT
cana-3962	253	3	2025	2025	NUM
cana-3962	253	4	)	)	PUNCT
cana-3962	253	5	539	539	NUM
cana-3962	253	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3962	253	7	figure	figure	NOUN
cana-3962	253	8	6	6	NUM
cana-3962	253	9	.	.	PUNCT
cana-3962	254	1	results	result	NOUN
cana-3962	254	2	of	of	ADP
cana-3962	254	3	best	good	ADJ
cana-3962	254	4	performed	perform	VERB
cana-3962	254	5	fusion	fusion	NOUN
cana-3962	254	6	method	method	NOUN
cana-3962	254	7	on	on	ADP
cana-3962	254	8	msid	msid	ADJ
cana-3962	254	9	dataset	dataset	NOUN
cana-3962	254	10	.	.	PUNCT
cana-3962	255	1	confusion	confusion	NOUN
cana-3962	255	2	matrices	matrix	NOUN
cana-3962	255	3	of	of	ADP
cana-3962	255	4	fusion	fusion	NOUN
cana-3962	255	5	methods	method	NOUN
cana-3962	255	6	on	on	ADP
cana-3962	255	7	msid	msid	NOUN
cana-3962	255	8	dataset	dataset	NOUN
cana-3962	255	9	is	be	AUX
cana-3962	255	10	shown	show	VERB
cana-3962	255	11	in	in	ADP
cana-3962	255	12	figure	figure	NOUN
cana-3962	255	13	.	.	PUNCT
cana-3962	256	1	the	the	DET
cana-3962	256	2	confusion	confusion	NOUN
cana-3962	256	3	matrix	matrix	NOUN
cana-3962	256	4	of	of	ADP
cana-3962	256	5	multiplicative	multiplicative	ADJ
cana-3962	256	6	method	method	NOUN
cana-3962	256	7	has	have	VERB
cana-3962	256	8	52	52	NUM
cana-3962	256	9	true	true	ADJ
cana-3962	256	10	positives	positive	NOUN
cana-3962	256	11	and	and	CCONJ
cana-3962	256	12	36	36	NUM
cana-3962	256	13	true	true	ADJ
cana-3962	256	14	negatives	negative	NOUN
cana-3962	256	15	.	.	PUNCT
cana-3962	257	1	it	it	PRON
cana-3962	257	2	shows	show	VERB
cana-3962	257	3	that	that	SCONJ
cana-3962	257	4	it	it	PRON
cana-3962	257	5	correctly	correctly	ADV
cana-3962	257	6	identifies	identify	VERB
cana-3962	257	7	the	the	DET
cana-3962	257	8	monkeypox	monkeypox	NOUN
cana-3962	257	9	cases	case	NOUN
cana-3962	257	10	and	and	CCONJ
cana-3962	257	11	normal	normal	ADJ
cana-3962	257	12	cases	case	NOUN
cana-3962	257	13	when	when	SCONJ
cana-3962	257	14	compared	compare	VERB
cana-3962	257	15	to	to	ADP
cana-3962	257	16	other	other	ADJ
cana-3962	257	17	state	state	NOUN
cana-3962	257	18	-	-	PUNCT
cana-3962	257	19	of	of	ADP
cana-3962	257	20	-art	-art	ADJ
cana-3962	257	21	fusion	fusion	NOUN
cana-3962	257	22	methods	method	NOUN
cana-3962	257	23	.	.	PUNCT
cana-3962	258	1	figure	figure	NOUN
cana-3962	258	2	figure	figure	NOUN
cana-3962	258	3	7	7	NUM
cana-3962	258	4	.	.	PUNCT
cana-3962	258	5	confusion	confusion	NOUN
cana-3962	258	6	matrices	matrix	NOUN
cana-3962	258	7	of	of	ADP
cana-3962	258	8	fusion	fusion	NOUN
cana-3962	258	9	methods	method	NOUN
cana-3962	258	10	on	on	ADP
cana-3962	258	11	msid	msid	ADJ
cana-3962	258	12	(	(	PUNCT
cana-3962	258	13	a	a	PRON
cana-3962	258	14	)	)	PUNCT
cana-3962	258	15	weighted	weight	VERB
cana-3962	258	16	(	(	PUNCT
cana-3962	258	17	b	b	NOUN
cana-3962	258	18	)	)	PUNCT
cana-3962	258	19	additive	additive	NOUN
cana-3962	258	20	(	(	PUNCT
cana-3962	258	21	c	c	NOUN
cana-3962	258	22	)	)	PUNCT
cana-3962	258	23	average	average	NOUN
cana-3962	258	24	(	(	PUNCT
cana-3962	258	25	d	d	NOUN
cana-3962	258	26	)	)	PUNCT
cana-3962	258	27	simple	simple	ADJ
cana-3962	258	28	(	(	PUNCT
cana-3962	258	29	e	e	NOUN
cana-3962	258	30	)	)	PUNCT
cana-3962	258	31	gated	gate	VERB
cana-3962	258	32	(	(	PUNCT
cana-3962	258	33	f	f	X
cana-3962	258	34	)	)	PUNCT
cana-3962	258	35	multiplicative	multiplicative	ADJ
cana-3962	258	36	further	far	ADV
cana-3962	258	37	below	below	ADV
cana-3962	258	38	shown	show	VERB
cana-3962	258	39	in	in	ADP
cana-3962	258	40	error	error	NOUN
cana-3962	258	41	!	!	PUNCT
cana-3962	259	1	reference	reference	NOUN
cana-3962	259	2	source	source	NOUN
cana-3962	259	3	not	not	PART
cana-3962	259	4	found	find	VERB
cana-3962	259	5	.	.	PUNCT
cana-3962	260	1	are	be	AUX
cana-3962	260	2	the	the	DET
cana-3962	260	3	roc	roc	PROPN
cana-3962	260	4	curves	curve	NOUN
cana-3962	260	5	of	of	ADP
cana-3962	260	6	all	all	DET
cana-3962	260	7	fusion	fusion	NOUN
cana-3962	260	8	methods	method	NOUN
cana-3962	260	9	on	on	ADP
cana-3962	260	10	msid	msid	ADJ
cana-3962	260	11	dataset	dataset	NOUN
cana-3962	260	12	.	.	PUNCT
cana-3962	261	1	auc	auc	PROPN
cana-3962	261	2	is	be	AUX
cana-3962	261	3	a	a	DET
cana-3962	261	4	single	single	ADJ
cana-3962	261	5	scalar	scalar	ADJ
cana-3962	261	6	value	value	NOUN
cana-3962	261	7	that	that	PRON
cana-3962	261	8	summarizes	summarize	VERB
cana-3962	261	9	the	the	DET
cana-3962	261	10	overall	overall	ADJ
cana-3962	261	11	performance	performance	NOUN
cana-3962	261	12	of	of	ADP
cana-3962	261	13	a	a	DET
cana-3962	261	14	binary	binary	ADJ
cana-3962	261	15	classification	classification	NOUN
cana-3962	261	16	model	model	NOUN
cana-3962	261	17	.	.	PUNCT
cana-3962	262	1	it	it	PRON
cana-3962	262	2	measures	measure	VERB
cana-3962	262	3	the	the	DET
cana-3962	262	4	ability	ability	NOUN
cana-3962	262	5	of	of	ADP
cana-3962	262	6	the	the	DET
cana-3962	262	7	model	model	NOUN
cana-3962	262	8	to	to	PART
cana-3962	262	9	distinguish	distinguish	VERB
cana-3962	262	10	between	between	ADP
cana-3962	262	11	the	the	DET
cana-3962	262	12	positive	positive	ADJ
cana-3962	262	13	and	and	CCONJ
cana-3962	262	14	negative	negative	ADJ
cana-3962	262	15	classes	class	NOUN
cana-3962	262	16	.	.	PUNCT
cana-3962	263	1	multiplicative	multiplicative	ADJ
cana-3962	263	2	fusion	fusion	NOUN
cana-3962	263	3	method	method	NOUN
cana-3962	263	4	has	have	VERB
cana-3962	263	5	the	the	DET
cana-3962	263	6	auc	auc	ADJ
cana-3962	263	7	score	score	NOUN
cana-3962	263	8	of	of	ADP
cana-3962	263	9	0.91	0.91	NUM
cana-3962	263	10	.	.	PUNCT
cana-3962	264	1	error	error	NOUN
cana-3962	264	2	!	!	PUNCT
cana-3962	265	1	reference	reference	NOUN
cana-3962	265	2	source	source	NOUN
cana-3962	265	3	not	not	PART
cana-3962	265	4	found	find	VERB
cana-3962	265	5	.	.	PUNCT
cana-3962	266	1	figure	figure	VERB
cana-3962	266	2	8	8	NUM
cana-3962	266	3	.	.	PUNCT
cana-3962	267	1	roc	roc	NOUN
cana-3962	267	2	graphs	graph	NOUN
cana-3962	267	3	of	of	ADP
cana-3962	267	4	all	all	DET
cana-3962	267	5	fusion	fusion	NOUN
cana-3962	267	6	methods	method	NOUN
cana-3962	267	7	on	on	ADP
cana-3962	267	8	msid	msid	ADJ
cana-3962	267	9	(	(	PUNCT
cana-3962	267	10	a	a	PRON
cana-3962	267	11	)	)	PUNCT
cana-3962	267	12	weighted	weight	VERB
cana-3962	267	13	(	(	PUNCT
cana-3962	267	14	b	b	NOUN
cana-3962	267	15	)	)	PUNCT
cana-3962	267	16	additive	additive	NOUN
cana-3962	267	17	(	(	PUNCT
cana-3962	267	18	c	c	NOUN
cana-3962	267	19	)	)	PUNCT
cana-3962	267	20	average	average	NOUN
cana-3962	267	21	(	(	PUNCT
cana-3962	267	22	d	d	NOUN
cana-3962	267	23	)	)	PUNCT
cana-3962	267	24	simple	simple	ADJ
cana-3962	267	25	(	(	PUNCT
cana-3962	267	26	e	e	NOUN
cana-3962	267	27	)	)	PUNCT
cana-3962	267	28	gated	gate	VERB
cana-3962	267	29	(	(	PUNCT
cana-3962	267	30	f	f	X
cana-3962	267	31	)	)	PUNCT
cana-3962	267	32	multiplicative	multiplicative	ADJ
cana-3962	267	33	5	5	NUM
cana-3962	267	34	.	.	PUNCT
cana-3962	267	35	conclusion	conclusion	NOUN
cana-3962	267	36	a	a	DET
cana-3962	267	37	rich	rich	ADJ
cana-3962	267	38	and	and	CCONJ
cana-3962	267	39	thorough	thorough	ADJ
cana-3962	267	40	representation	representation	NOUN
cana-3962	267	41	of	of	ADP
cana-3962	267	42	the	the	DET
cana-3962	267	43	input	input	NOUN
cana-3962	267	44	data	datum	NOUN
cana-3962	267	45	is	be	AUX
cana-3962	267	46	provided	provide	VERB
cana-3962	267	47	by	by	ADP
cana-3962	267	48	feature	feature	NOUN
cana-3962	267	49	fusion	fusion	NOUN
cana-3962	267	50	,	,	PUNCT
cana-3962	267	51	which	which	PRON
cana-3962	267	52	helps	help	VERB
cana-3962	267	53	the	the	DET
cana-3962	267	54	classifier	classifier	NOUN
cana-3962	267	55	provide	provide	VERB
cana-3962	267	56	more	more	ADV
cana-3962	267	57	accurate	accurate	ADJ
cana-3962	267	58	predictions	prediction	NOUN
cana-3962	267	59	.	.	PUNCT
cana-3962	268	1	each	each	DET
cana-3962	268	2	fusion	fusion	NOUN
cana-3962	268	3	method	method	NOUN
cana-3962	268	4	has	have	VERB
cana-3962	268	5	its	its	PRON
cana-3962	268	6	advantages	advantage	NOUN
cana-3962	268	7	and	and	CCONJ
cana-3962	268	8	disadvantages	disadvantage	NOUN
cana-3962	268	9	depending	depend	VERB
cana-3962	268	10	on	on	ADP
cana-3962	268	11	the	the	DET
cana-3962	268	12	task	task	NOUN
cana-3962	268	13	and	and	CCONJ
cana-3962	268	14	dataset	dataset	NOUN
cana-3962	268	15	used	use	VERB
cana-3962	268	16	.	.	PUNCT
cana-3962	269	1	feature	feature	NOUN
cana-3962	269	2	fusion	fusion	NOUN
cana-3962	269	3	leverages	leverage	VERB
cana-3962	269	4	individual	individual	ADJ
cana-3962	269	5	models	model	NOUN
cana-3962	269	6	to	to	PART
cana-3962	269	7	extract	extract	VERB
cana-3962	269	8	diverse	diverse	ADJ
cana-3962	269	9	and	and	CCONJ
cana-3962	269	10	complementary	complementary	ADJ
cana-3962	269	11	features	feature	NOUN
cana-3962	269	12	from	from	ADP
cana-3962	269	13	input	input	NOUN
cana-3962	269	14	images	image	NOUN
cana-3962	269	15	.	.	PUNCT
cana-3962	270	1	when	when	SCONJ
cana-3962	270	2	dealing	deal	VERB
cana-3962	270	3	with	with	ADP
cana-3962	270	4	complicated	complicated	ADJ
cana-3962	270	5	or	or	CCONJ
cana-3962	270	6	noisy	noisy	ADJ
cana-3962	270	7	data	datum	NOUN
cana-3962	270	8	,	,	PUNCT
cana-3962	270	9	the	the	DET
cana-3962	270	10	model	model	NOUN
cana-3962	270	11	's	's	PART
cana-3962	270	12	overall	overall	ADJ
cana-3962	270	13	performance	performance	NOUN
cana-3962	270	14	may	may	AUX
cana-3962	270	15	be	be	AUX
cana-3962	270	16	enhanced	enhance	VERB
cana-3962	270	17	by	by	ADP
cana-3962	270	18	this	this	DET
cana-3962	270	19	diversity	diversity	NOUN
cana-3962	270	20	of	of	ADP
cana-3962	270	21	feature	feature	NOUN
cana-3962	270	22	sources	source	NOUN
cana-3962	270	23	.	.	PUNCT
cana-3962	271	1	through	through	ADP
cana-3962	271	2	the	the	DET
cana-3962	271	3	integration	integration	NOUN
cana-3962	271	4	of	of	ADP
cana-3962	271	5	characteristics	characteristic	NOUN
cana-3962	271	6	from	from	ADP
cana-3962	271	7	several	several	ADJ
cana-3962	271	8	architectures	architecture	NOUN
cana-3962	271	9	,	,	PUNCT
cana-3962	271	10	the	the	DET
cana-3962	271	11	fusion	fusion	NOUN
cana-3962	271	12	model	model	NOUN
cana-3962	271	13	gains	gain	VERB
cana-3962	271	14	an	an	DET
cana-3962	271	15	enhanced	enhanced	ADJ
cana-3962	271	16	ability	ability	NOUN
cana-3962	271	17	to	to	PART
cana-3962	271	18	generalize	generalize	VERB
cana-3962	271	19	across	across	ADP
cana-3962	271	20	unknown	unknown	ADJ
cana-3962	271	21	data	datum	NOUN
cana-3962	271	22	.	.	PUNCT
cana-3962	272	1	combining	combine	VERB
cana-3962	272	2	several	several	ADJ
cana-3962	272	3	feature	feature	NOUN
cana-3962	272	4	sets	set	NOUN
cana-3962	272	5	gives	give	VERB
cana-3962	272	6	the	the	DET
cana-3962	272	7	classifier	classifier	NOUN
cana-3962	272	8	access	access	NOUN
cana-3962	272	9	to	to	ADP
cana-3962	272	10	richer	rich	ADJ
cana-3962	272	11	,	,	PUNCT
cana-3962	272	12	more	more	ADV
cana-3962	272	13	insightful	insightful	ADJ
cana-3962	272	14	data	datum	NOUN
cana-3962	272	15	,	,	PUNCT
cana-3962	272	16	which	which	PRON
cana-3962	272	17	improves	improve	VERB
cana-3962	272	18	prediction	prediction	NOUN
cana-3962	272	19	accuracy	accuracy	NOUN
cana-3962	272	20	.	.	PUNCT
cana-3962	273	1	this	this	PRON
cana-3962	273	2	is	be	AUX
cana-3962	273	3	especially	especially	ADV
cana-3962	273	4	crucial	crucial	ADJ
cana-3962	273	5	for	for	ADP
cana-3962	273	6	tasks	task	NOUN
cana-3962	273	7	involving	involve	VERB
cana-3962	273	8	the	the	DET
cana-3962	273	9	diagnosis	diagnosis	NOUN
cana-3962	273	10	of	of	ADP
cana-3962	273	11	diseases	disease	NOUN
cana-3962	273	12	because	because	SCONJ
cana-3962	273	13	even	even	ADV
cana-3962	273	14	tiny	tiny	ADJ
cana-3962	273	15	increases	increase	NOUN
cana-3962	273	16	in	in	ADP
cana-3962	273	17	accuracy	accuracy	NOUN
cana-3962	273	18	can	can	AUX
cana-3962	273	19	have	have	VERB
cana-3962	273	20	a	a	DET
cana-3962	273	21	significant	significant	ADJ
cana-3962	273	22	therapeutic	therapeutic	ADJ
cana-3962	273	23	impact	impact	NOUN
cana-3962	273	24	.	.	PUNCT
cana-3962	274	1	the	the	DET
cana-3962	274	2	combination	combination	NOUN
cana-3962	274	3	of	of	ADP
cana-3962	274	4	features	feature	NOUN
cana-3962	274	5	retrieved	retrieve	VERB
cana-3962	274	6	by	by	ADP
cana-3962	274	7	pre	pre	ADJ
cana-3962	274	8	-	-	ADJ
cana-3962	274	9	trained	train	VERB
cana-3962	274	10	models	model	NOUN
cana-3962	274	11	enhances	enhance	VERB
cana-3962	274	12	the	the	DET
cana-3962	274	13	model	model	NOUN
cana-3962	274	14	's	's	PART
cana-3962	274	15	capacity	capacity	NOUN
cana-3962	274	16	to	to	PART
cana-3962	274	17	distinguish	distinguish	VERB
cana-3962	274	18	across	across	ADP
cana-3962	274	19	related	related	ADJ
cana-3962	274	20	classes	class	NOUN
cana-3962	274	21	.	.	PUNCT
cana-3962	275	1	the	the	DET
cana-3962	275	2	fusion	fusion	NOUN
cana-3962	275	3	of	of	ADP
cana-3962	275	4	features	feature	NOUN
cana-3962	275	5	captures	capture	VERB
cana-3962	275	6	distinct	distinct	ADJ
cana-3962	275	7	image	image	NOUN
cana-3962	275	8	characteristics	characteristic	NOUN
cana-3962	275	9	,	,	PUNCT
cana-3962	275	10	including	include	VERB
cana-3962	275	11	texture	texture	NOUN
cana-3962	275	12	,	,	PUNCT
cana-3962	275	13	edges	edge	NOUN
cana-3962	275	14	,	,	PUNCT
cana-3962	275	15	and	and	CCONJ
cana-3962	275	16	fine	fine	ADJ
cana-3962	275	17	details	detail	NOUN
cana-3962	275	18	.	.	PUNCT
cana-3962	276	1	element	element	ADJ
cana-3962	276	2	-	-	ADJ
cana-3962	276	3	wise	wise	ADJ
cana-3962	276	4	multiplication	multiplication	NOUN
cana-3962	276	5	fusion	fusion	NOUN
cana-3962	276	6	captures	capture	VERB
cana-3962	276	7	only	only	ADV
cana-3962	276	8	the	the	DET
cana-3962	276	9	interactions	interaction	NOUN
cana-3962	276	10	between	between	ADP
cana-3962	276	11	the	the	DET
cana-3962	276	12	features	feature	NOUN
cana-3962	276	13	,	,	PUNCT
cana-3962	276	14	resulting	result	VERB
cana-3962	276	15	in	in	ADP
cana-3962	276	16	smaller	small	ADJ
cana-3962	276	17	feature	feature	NOUN
cana-3962	276	18	dimensions	dimension	NOUN
cana-3962	276	19	compared	compare	VERB
cana-3962	276	20	to	to	ADP
cana-3962	276	21	simple	simple	ADJ
cana-3962	276	22	concatenation	concatenation	NOUN
cana-3962	276	23	.	.	PUNCT
cana-3962	277	1	when	when	SCONJ
cana-3962	277	2	a	a	DET
cana-3962	277	3	model	model	NOUN
cana-3962	277	4	is	be	AUX
cana-3962	277	5	expanded	expand	VERB
cana-3962	277	6	to	to	PART
cana-3962	277	7	accommodate	accommodate	VERB
cana-3962	277	8	different	different	ADJ
cana-3962	277	9	data	datum	NOUN
cana-3962	277	10	types	type	NOUN
cana-3962	277	11	,	,	PUNCT
cana-3962	277	12	such	such	ADJ
cana-3962	277	13	as	as	ADP
cana-3962	277	14	text	text	NOUN
cana-3962	277	15	and	and	CCONJ
cana-3962	277	16	images	image	NOUN
cana-3962	277	17	,	,	PUNCT
cana-3962	277	18	feature	feature	NOUN
cana-3962	277	19	fusion	fusion	NOUN
cana-3962	277	20	offers	offer	VERB
cana-3962	277	21	a	a	DET
cana-3962	277	22	seamless	seamless	ADJ
cana-3962	277	23	method	method	NOUN
cana-3962	277	24	of	of	ADP
cana-3962	277	25	merging	merge	VERB
cana-3962	277	26	features	feature	NOUN
cana-3962	277	27	from	from	ADP
cana-3962	277	28	various	various	ADJ
cana-3962	277	29	models	model	NOUN
cana-3962	277	30	created	create	VERB
cana-3962	277	31	for	for	ADP
cana-3962	277	32	communications	communication	NOUN
cana-3962	277	33	on	on	ADP
cana-3962	277	34	applied	apply	VERB
cana-3962	277	35	nonlinear	nonlinear	ADJ
cana-3962	277	36	analysis	analysis	NOUN
cana-3962	277	37	issn	issn	NOUN
cana-3962	277	38	:	:	PUNCT
cana-3962	277	39	1074	1074	NUM
cana-3962	277	40	-	-	PUNCT
cana-3962	277	41	133x	133x	NUM
cana-3962	277	42	vol	vol	NOUN
cana-3962	277	43	32	32	NUM
cana-3962	277	44	no	no	NOUN
cana-3962	277	45	.	.	PUNCT
cana-3962	278	1	9s	9s	NUM
cana-3962	278	2	(	(	PUNCT
cana-3962	278	3	2025	2025	NUM
cana-3962	278	4	)	)	PUNCT
cana-3962	279	1	540	540	NUM
cana-3962	279	2	https://internationalpubls.com	https://internationalpubls.com	X
cana-3962	279	3	distinct	distinct	ADJ
cana-3962	279	4	data	datum	NOUN
cana-3962	279	5	types	type	NOUN
cana-3962	279	6	.	.	PUNCT
cana-3962	280	1	this	this	DET
cana-3962	280	2	approach	approach	NOUN
cana-3962	280	3	is	be	AUX
cana-3962	280	4	particularly	particularly	ADV
cana-3962	280	5	advantageous	advantageous	ADJ
cana-3962	280	6	for	for	ADP
cana-3962	280	7	merging	merge	VERB
cana-3962	280	8	architectures	architecture	NOUN
cana-3962	280	9	and	and	CCONJ
cana-3962	280	10	diverse	diverse	ADJ
cana-3962	280	11	input	input	NOUN
cana-3962	280	12	modalities	modality	NOUN
cana-3962	280	13	.	.	PUNCT
cana-3962	281	1	in	in	ADP
cana-3962	281	2	the	the	DET
cana-3962	281	3	future	future	NOUN
cana-3962	281	4	,	,	PUNCT
cana-3962	281	5	we	we	PRON
cana-3962	281	6	aim	aim	VERB
cana-3962	281	7	to	to	PART
cana-3962	281	8	extend	extend	VERB
cana-3962	281	9	this	this	DET
cana-3962	281	10	work	work	NOUN
cana-3962	281	11	by	by	ADP
cana-3962	281	12	working	work	VERB
cana-3962	281	13	on	on	ADP
cana-3962	281	14	multimodal	multimodal	ADJ
cana-3962	281	15	datasets	dataset	NOUN
cana-3962	281	16	.	.	PUNCT
cana-3962	282	1	references	reference	NOUN
cana-3962	282	2	[	[	X
cana-3962	282	3	1	1	NUM
cana-3962	282	4	]	]	PUNCT
cana-3962	282	5	sukhdeo	sukhdeo	NOUN
cana-3962	282	6	s	s	PROPN
cana-3962	282	7	,	,	PUNCT
cana-3962	282	8	mishra	mishra	PROPN
cana-3962	282	9	s	s	PROPN
cana-3962	282	10	,	,	PUNCT
cana-3962	282	11	walmsley	walmsley	PROPN
cana-3962	282	12	s.	s.	PROPN
cana-3962	282	13	human	human	PROPN
cana-3962	282	14	monkeypox	monkeypox	PROPN
cana-3962	282	15	:	:	PUNCT
cana-3962	282	16	a	a	DET
cana-3962	282	17	comparison	comparison	NOUN
cana-3962	282	18	of	of	ADP
cana-3962	282	19	the	the	DET
cana-3962	282	20	characteristics	characteristic	NOUN
cana-3962	282	21	of	of	ADP
cana-3962	282	22	the	the	DET
cana-3962	282	23	new	new	ADJ
cana-3962	282	24	epidemic	epidemic	NOUN
cana-3962	282	25	to	to	ADP
cana-3962	282	26	the	the	DET
cana-3962	282	27	endemic	endemic	ADJ
cana-3962	282	28	disease	disease	NOUN
cana-3962	282	29	.	.	PUNCT
cana-3962	283	1	bmc	bmc	PROPN
cana-3962	283	2	infect	infect	PROPN
cana-3962	283	3	dis	dis	PROPN
cana-3962	283	4	.	.	PUNCT
cana-3962	284	1	2022;22(1):928	2022;22(1):928	NUM
cana-3962	284	2	.	.	PUNCT
cana-3962	285	1	https://doi.org/10.1186/s12879-022-07900-7	https://doi.org/10.1186/s12879-022-07900-7	NUM
cana-3962	285	2	.	.	PUNCT
cana-3962	286	1	[	[	X
cana-3962	286	2	2	2	NUM
cana-3962	286	3	]	]	PUNCT
cana-3962	286	4	naemi	naemi	NOUN
cana-3962	286	5	a	a	NOUN
cana-3962	286	6	,	,	PUNCT
cana-3962	286	7	schmidt	schmidt	PROPN
cana-3962	286	8	t	t	PROPN
cana-3962	286	9	,	,	PUNCT
cana-3962	286	10	mansourvar	mansourvar	PROPN
cana-3962	286	11	m	m	PROPN
cana-3962	286	12	,	,	PUNCT
cana-3962	286	13	naghavi	naghavi	PROPN
cana-3962	286	14	-	-	PUNCT
cana-3962	286	15	behzad	behzad	PROPN
cana-3962	286	16	m	m	PROPN
cana-3962	286	17	,	,	PUNCT
cana-3962	286	18	ebrahimi	ebrahimi	PROPN
cana-3962	286	19	a	a	X
cana-3962	286	20	,	,	PUNCT
cana-3962	286	21	wiil	wiil	PROPN
cana-3962	286	22	uk	uk	PROPN
cana-3962	286	23	.	.	PROPN
cana-3962	286	24	machine	machine	NOUN
cana-3962	286	25	learning	learn	VERB
cana-3962	286	26	techniques	technique	NOUN
cana-3962	286	27	for	for	ADP
cana-3962	286	28	mortality	mortality	NOUN
cana-3962	286	29	prediction	prediction	NOUN
cana-3962	286	30	in	in	ADP
cana-3962	286	31	emergency	emergency	NOUN
cana-3962	286	32	departments	department	NOUN
cana-3962	286	33	:	:	PUNCT
cana-3962	286	34	a	a	DET
cana-3962	286	35	systematic	systematic	ADJ
cana-3962	286	36	review	review	NOUN
cana-3962	286	37	.	.	PUNCT
cana-3962	287	1	bmj	bmj	PROPN
cana-3962	287	2	open	open	ADJ
cana-3962	287	3	.	.	PUNCT
cana-3962	288	1	nov	nov	PROPN
cana-3962	288	2	.	.	PROPN
cana-3962	289	1	2021;11(11	2021;11(11	NUM
cana-3962	289	2	):	):	PUNCT
cana-3962	289	3	e052663	e052663	PROPN
cana-3962	289	4	.	.	PUNCT
cana-3962	290	1	https://doi	https://doi	PROPN
cana-3962	290	2	.	.	PUNCT
cana-3962	290	3	org/10.1136	org/10.1136	NOUN
cana-3962	290	4	/	/	SYM
cana-3962	290	5	bmjopen-2021	bmjopen-2021	NOUN
cana-3962	290	6	-	-	PUNCT
cana-3962	290	7	052663	052663	NUM
cana-3962	290	8	.	.	PUNCT
cana-3962	291	1	[	[	X
cana-3962	291	2	3	3	X
cana-3962	291	3	]	]	X
cana-3962	291	4	ravì	ravì	PROPN
cana-3962	291	5	d	d	PROPN
cana-3962	291	6	,	,	PUNCT
cana-3962	291	7	et	et	PROPN
cana-3962	291	8	al	al	PROPN
cana-3962	291	9	.	.	PUNCT
cana-3962	292	1	deep	deep	ADJ
cana-3962	292	2	learning	learning	NOUN
cana-3962	292	3	for	for	ADP
cana-3962	292	4	health	health	NOUN
cana-3962	292	5	informatics	informatic	NOUN
cana-3962	292	6	.	.	PUNCT
cana-3962	293	1	ieee	ieee	PROPN
cana-3962	293	2	j	j	PROPN
cana-3962	293	3	biomedical	biomedical	PROPN
cana-3962	293	4	health	health	PROPN
cana-3962	293	5	inf	inf	PROPN
cana-3962	293	6	.	.	PUNCT
cana-3962	294	1	2016;21(1):4–21	2016;21(1):4–21	X
cana-3962	294	2	.	.	PUNCT
cana-3962	295	1	[	[	X
cana-3962	295	2	4	4	NUM
cana-3962	295	3	]	]	SYM
cana-3962	295	4	miotto	miotto	ADJ
cana-3962	295	5	r	r	PROPN
cana-3962	295	6	,	,	PUNCT
cana-3962	295	7	wang	wang	PROPN
cana-3962	295	8	f	f	PROPN
cana-3962	295	9	,	,	PUNCT
cana-3962	295	10	wang	wang	PROPN
cana-3962	295	11	s	s	PROPN
cana-3962	295	12	,	,	PUNCT
cana-3962	295	13	jiang	jiang	PROPN
cana-3962	295	14	x	x	PROPN
cana-3962	295	15	,	,	PUNCT
cana-3962	295	16	dudley	dudley	PROPN
cana-3962	295	17	jt	jt	PROPN
cana-3962	295	18	.	.	PUNCT
cana-3962	296	1	deep	deep	ADJ
cana-3962	296	2	learning	learning	NOUN
cana-3962	296	3	for	for	ADP
cana-3962	296	4	healthcare	healthcare	NOUN
cana-3962	296	5	:	:	PUNCT
cana-3962	296	6	review	review	NOUN
cana-3962	296	7	,	,	PUNCT
cana-3962	296	8	opportunities	opportunity	NOUN
cana-3962	296	9	and	and	CCONJ
cana-3962	296	10	challenges	challenge	NOUN
cana-3962	296	11	.	.	PUNCT
cana-3962	297	1	brief	brief	ADJ
cana-3962	297	2	bioinform	bioinform	NOUN
cana-3962	297	3	.	.	PUNCT
cana-3962	298	1	2018;19(6):1236–46	2018;19(6):1236–46	NOUN
cana-3962	299	1	[	[	X
cana-3962	299	2	5	5	NUM
cana-3962	299	3	]	]	PUNCT
cana-3962	299	4	"	"	PUNCT
cana-3962	299	5	enhancing	enhance	VERB
cana-3962	299	6	monkeypox	monkeypox	NOUN
cana-3962	299	7	detection	detection	NOUN
cana-3962	299	8	through	through	ADP
cana-3962	299	9	data	datum	NOUN
cana-3962	299	10	analytics	analytic	NOUN
cana-3962	299	11	:	:	PUNCT
cana-3962	299	12	a	a	DET
cana-3962	299	13	comparative	comparative	ADJ
cana-3962	299	14	study	study	NOUN
cana-3962	299	15	of	of	ADP
cana-3962	299	16	machine	machine	NOUN
cana-3962	299	17	and	and	CCONJ
cana-3962	299	18	deep	deep	ADJ
cana-3962	299	19	learning	learning	NOUN
cana-3962	299	20	techniques	technique	NOUN
cana-3962	299	21	”	"	PUNCT
cana-3962	299	22	,	,	PUNCT
cana-3962	299	23	kinjal	kinjal	ADJ
cana-3962	299	24	a.	a.	NOUN
cana-3962	299	25	patel	patel	PROPN
cana-3962	299	26	,	,	PUNCT
cana-3962	299	27	asadi	asadi	PROPN
cana-3962	299	28	srinivasulu	srinivasulu	PROPN
cana-3962	299	29	,	,	PUNCT
cana-3962	299	30	kuntesh	kuntesh	PROPN
cana-3962	299	31	jani	jani	PROPN
cana-3962	299	32	,	,	PUNCT
cana-3962	299	33	goddindla	goddindla	NOUN
cana-3962	299	34	sreenivasulu	sreenivasulu	VERB
cana-3962	299	35	,	,	PUNCT
cana-3962	299	36	research	research	NOUN
cana-3962	299	37	article	article	NOUN
cana-3962	299	38	in	in	ADP
cana-3962	299	39	advances	advance	NOUN
cana-3962	299	40	in	in	ADP
cana-3962	299	41	engineering	engineering	NOUN
cana-3962	299	42	and	and	CCONJ
cana-3962	299	43	intelligence	intelligence	NOUN
cana-3962	299	44	systems	system	NOUN
cana-3962	299	45	,	,	PUNCT
cana-3962	299	46	2023	2023	NUM
cana-3962	299	47	[	[	X
cana-3962	299	48	6	6	X
cana-3962	299	49	]	]	PUNCT
cana-3962	299	50	krishnaraj	krishnaraj	ADJ
cana-3962	299	51	chadaga	chadaga	PROPN
cana-3962	299	52	,	,	PUNCT
cana-3962	299	53	srikanth	srikanth	PROPN
cana-3962	299	54	prabhu	prabhu	PROPN
cana-3962	299	55	,	,	PUNCT
cana-3962	299	56	niranjana	niranjana	ADJ
cana-3962	299	57	sampathila	sampathila	NOUN
cana-3962	299	58	,	,	PUNCT
cana-3962	299	59	sumith	sumith	VERB
cana-3962	299	60	nireshwalya	nireshwalya	ADV
cana-3962	299	61	,	,	PUNCT
cana-3962	299	62	swathi	swathi	PROPN
cana-3962	299	63	s.	s.	PROPN
cana-3962	299	64	katta	katta	PROPN
cana-3962	299	65	,	,	PUNCT
cana-3962	299	66	ru	ru	PROPN
cana-3962	299	67	-	-	PROPN
cana-3962	299	68	san	san	PROPN
cana-3962	299	69	tan	tan	PROPN
cana-3962	299	70	,	,	PUNCT
cana-3962	299	71	and	and	CCONJ
cana-3962	299	72	u.	u.	PROPN
cana-3962	299	73	rajendra	rajendra	PROPN
cana-3962	299	74	acharya	acharya	PROPN
cana-3962	299	75	,	,	PUNCT
cana-3962	299	76	"	"	PUNCT
cana-3962	299	77	application	application	NOUN
cana-3962	299	78	of	of	ADP
cana-3962	299	79	artificial	artificial	ADJ
cana-3962	299	80	intelligence	intelligence	NOUN
cana-3962	299	81	techniques	technique	NOUN
cana-3962	299	82	for	for	ADP
cana-3962	299	83	monkeypox	monkeypox	NOUN
cana-3962	299	84	:	:	PUNCT
cana-3962	299	85	a	a	DET
cana-3962	299	86	systematic	systematic	ADJ
cana-3962	299	87	review	review	NOUN
cana-3962	299	88	”	"	PUNCT
cana-3962	299	89	,	,	PUNCT
cana-3962	299	90	systematic	systematic	ADJ
cana-3962	299	91	review	review	NOUN
cana-3962	299	92	,	,	PUNCT
cana-3962	299	93	diagonostics	diagonostic	NOUN
cana-3962	299	94	,	,	PUNCT
cana-3962	299	95	2023	2023	NUM
cana-3962	299	96	.	.	PUNCT
cana-3962	300	1	[	[	X
cana-3962	300	2	7	7	X
cana-3962	300	3	]	]	X
cana-3962	300	4	katy	katy	PROPN
cana-3962	300	5	brown	brown	PROPN
cana-3962	300	6	and	and	CCONJ
cana-3962	300	7	peter	peter	PROPN
cana-3962	300	8	a.	a.	PROPN
cana-3962	300	9	leggat	leggat	PROPN
cana-3962	300	10	,	,	PUNCT
cana-3962	300	11	"	"	PUNCT
cana-3962	300	12	human	human	ADJ
cana-3962	300	13	monkeypox	monkeypox	NOUN
cana-3962	300	14	:	:	PUNCT
cana-3962	300	15	current	current	ADJ
cana-3962	300	16	state	state	NOUN
cana-3962	300	17	of	of	ADP
cana-3962	300	18	knowledge	knowledge	NOUN
cana-3962	300	19	and	and	CCONJ
cana-3962	300	20	implications	implication	NOUN
cana-3962	300	21	for	for	ADP
cana-3962	300	22	the	the	DET
cana-3962	300	23	future	future	NOUN
cana-3962	300	24	"	"	PUNCT
cana-3962	300	25	,	,	PUNCT
cana-3962	300	26	,	,	PUNCT
cana-3962	300	27	tropical	tropical	ADJ
cana-3962	300	28	medicine	medicine	NOUN
cana-3962	300	29	and	and	CCONJ
cana-3962	300	30	infectious	infectious	ADJ
cana-3962	300	31	disease	disease	NOUN
cana-3962	300	32	,	,	PUNCT
cana-3962	300	33	mdpi	mdpi	PROPN
cana-3962	300	34	,	,	PUNCT
cana-3962	300	35	2016	2016	NUM
cana-3962	300	36	.	.	PUNCT
cana-3962	301	1	[	[	X
cana-3962	301	2	8	8	NUM
cana-3962	301	3	]	]	X
cana-3962	301	4	sahin	sahin	PROPN
cana-3962	301	5	,	,	PUNCT
cana-3962	301	6	v.h	v.h	PROPN
cana-3962	301	7	.	.	PROPN
cana-3962	301	8	;	;	PUNCT
cana-3962	301	9	oztel	oztel	PROPN
cana-3962	301	10	,	,	PUNCT
cana-3962	301	11	i.	i.	NOUN
cana-3962	301	12	;	;	PUNCT
cana-3962	301	13	yolcu	yolcu	ADJ
cana-3962	301	14	oztel	oztel	PROPN
cana-3962	301	15	,	,	PUNCT
cana-3962	301	16	g.	g.	PROPN
cana-3962	301	17	human	human	PROPN
cana-3962	301	18	monkeypox	monkeypox	PROPN
cana-3962	301	19	classification	classification	NOUN
cana-3962	301	20	from	from	ADP
cana-3962	301	21	skin	skin	NOUN
cana-3962	301	22	lesion	lesion	NOUN
cana-3962	301	23	images	image	NOUN
cana-3962	301	24	with	with	ADP
cana-3962	301	25	deep	deep	ADJ
cana-3962	301	26	pretrained	pretraine	VERB
cana-3962	301	27	network	network	NOUN
cana-3962	301	28	using	use	VERB
cana-3962	301	29	mobile	mobile	ADJ
cana-3962	301	30	application	application	NOUN
cana-3962	301	31	.	.	PUNCT
cana-3962	302	1	j.	j.	PROPN
cana-3962	302	2	med	med	PROPN
cana-3962	302	3	syst	syst	PROPN
cana-3962	302	4	.	.	PUNCT
cana-3962	302	5	2022	2022	NUM
cana-3962	302	6	,	,	PUNCT
cana-3962	302	7	46	46	NUM
cana-3962	302	8	,	,	PUNCT
cana-3962	302	9	79	79	NUM
cana-3962	302	10	.	.	PUNCT
cana-3962	303	1	[	[	X
cana-3962	303	2	9	9	NUM
cana-3962	303	3	]	]	SYM
cana-3962	303	4	irmak	irmak	PROPN
cana-3962	303	5	,	,	PUNCT
cana-3962	303	6	m.c	m.c	PROPN
cana-3962	303	7	.	.	PROPN
cana-3962	303	8	;	;	PUNCT
cana-3962	303	9	aydin	aydin	NOUN
cana-3962	303	10	,	,	PUNCT
cana-3962	303	11	t.	t.	PROPN
cana-3962	303	12	;	;	PUNCT
cana-3962	303	13	yaanolu	yaanolu	PROPN
cana-3962	303	14	,	,	PUNCT
cana-3962	303	15	m.	m.	NOUN
cana-3962	303	16	monkeypox	monkeypox	PROPN
cana-3962	303	17	skin	skin	NOUN
cana-3962	303	18	lesion	lesion	NOUN
cana-3962	303	19	detection	detection	NOUN
cana-3962	303	20	with	with	ADP
cana-3962	303	21	mobilenetv2	mobilenetv2	PROPN
cana-3962	303	22	and	and	CCONJ
cana-3962	303	23	vggnet	vggnet	NOUN
cana-3962	303	24	models	model	NOUN
cana-3962	303	25	.	.	PUNCT
cana-3962	304	1	in	in	ADP
cana-3962	304	2	proceedings	proceeding	NOUN
cana-3962	304	3	of	of	ADP
cana-3962	304	4	the	the	DET
cana-3962	304	5	2022	2022	NUM
cana-3962	304	6	medical	medical	PROPN
cana-3962	304	7	technologies	technology	NOUN
cana-3962	304	8	congress	congress	PROPN
cana-3962	304	9	(	(	PUNCT
cana-3962	304	10	tiptekno	tiptekno	PROPN
cana-3962	304	11	)	)	PUNCT
cana-3962	304	12	,	,	PUNCT
cana-3962	304	13	antalya	antalya	PROPN
cana-3962	304	14	,	,	PUNCT
cana-3962	304	15	turkey	turkey	PROPN
cana-3962	304	16	,	,	PUNCT
cana-3962	304	17	31	31	NUM
cana-3962	304	18	october–2	october–2	NOUN
cana-3962	304	19	november	november	PROPN
cana-3962	304	20	2022	2022	NUM
cana-3962	304	21	;	;	PUNCT
cana-3962	304	22	pp	pp	ADV
cana-3962	304	23	.	.	PUNCT
cana-3962	305	1	1–4	1–4	NUM
cana-3962	306	1	[	[	X
cana-3962	306	2	10	10	NUM
cana-3962	306	3	]	]	X
cana-3962	306	4	shivangi	shivangi	PROPN
cana-3962	306	5	surati	surati	PROPN
cana-3962	306	6	,	,	PUNCT
cana-3962	306	7	himani	himani	PROPN
cana-3962	306	8	trivedi	trivedi	PROPN
cana-3962	306	9	,	,	PUNCT
cana-3962	306	10	bela	bela	PROPN
cana-3962	306	11	shrimali	shrimali	PROPN
cana-3962	306	12	,	,	PUNCT
cana-3962	306	13	chintan	chintan	PROPN
cana-3962	306	14	bhatt	bhatt	PROPN
cana-3962	306	15	,	,	PUNCT
cana-3962	306	16	and	and	CCONJ
cana-3962	306	17	carlos	carlos	PROPN
cana-3962	306	18	m.	m.	PROPN
cana-3962	306	19	travieso	travieso	PROPN
cana-3962	306	20	-	-	PUNCT
cana-3962	306	21	gonzález	gonzález	PROPN
cana-3962	306	22	,	,	PUNCT
cana-3962	306	23	"	"	PUNCT
cana-3962	306	24	an	an	DET
cana-3962	306	25	enhanced	enhanced	ADJ
cana-3962	306	26	diagnosis	diagnosis	NOUN
cana-3962	306	27	of	of	ADP
cana-3962	306	28	monkeypox	monkeypox	NOUN
cana-3962	306	29	disease	disease	NOUN
cana-3962	306	30	using	use	VERB
cana-3962	306	31	deep	deep	ADJ
cana-3962	306	32	learning	learning	NOUN
cana-3962	306	33	and	and	CCONJ
cana-3962	306	34	a	a	DET
cana-3962	306	35	novel	novel	ADJ
cana-3962	306	36	attention	attention	NOUN
cana-3962	306	37	model	model	NOUN
cana-3962	306	38	senet	senet	NOUN
cana-3962	306	39	on	on	ADP
cana-3962	306	40	diversified	diversify	VERB
cana-3962	306	41	dataset":multimodal	dataset":multimodal	PROPN
cana-3962	306	42	technologies	technology	NOUN
cana-3962	306	43	and	and	CCONJ
cana-3962	306	44	interaction	interaction	NOUN
cana-3962	306	45	,	,	PUNCT
cana-3962	306	46	mdpi,2023	mdpi,2023	NOUN
cana-3962	306	47	.	.	PUNCT
cana-3962	307	1	[	[	X
cana-3962	307	2	11	11	NUM
cana-3962	307	3	]	]	PUNCT
cana-3962	307	4	mondial	mondial	PROPN
cana-3962	307	5	-	-	PUNCT
cana-3962	307	6	cad	cad	NOUN
cana-3962	307	7	:	:	PUNCT
cana-3962	307	8	monkeypox	monkeypox	NOUN
cana-3962	307	9	diagnosis	diagnosis	NOUN
cana-3962	307	10	via	via	ADP
cana-3962	307	11	selected	select	VERB
cana-3962	307	12	hybrid	hybrid	NOUN
cana-3962	307	13	cnns	cnn	NOUN
cana-3962	307	14	unified	unify	VERB
cana-3962	307	15	with	with	ADP
cana-3962	307	16	feature	feature	NOUN
cana-3962	307	17	selection	selection	NOUN
cana-3962	307	18	and	and	CCONJ
cana-3962	307	19	fusion	fusion	NOUN
cana-3962	307	20	learning	learning	NOUN
cana-3962	307	21	,	,	PUNCT
cana-3962	307	22	omneya	omneya	VERB
cana-3962	307	23	attallah	attallah	PROPN
cana-3962	307	24	,	,	PUNCT
cana-3962	307	25	digital	digital	PROPN
cana-3962	307	26	health,2023	health,2023	NOUN
cana-3962	307	27	.	.	PUNCT
cana-3962	308	1	[	[	X
cana-3962	308	2	12	12	NUM
cana-3962	308	3	]	]	X
cana-3962	308	4	uysal	uysal	PROPN
cana-3962	308	5	f.	f.	PROPN
cana-3962	308	6	detection	detection	PROPN
cana-3962	308	7	of	of	ADP
cana-3962	308	8	monkeypox	monkeypox	NOUN
cana-3962	308	9	disease	disease	NOUN
cana-3962	308	10	from	from	ADP
cana-3962	308	11	human	human	ADJ
cana-3962	308	12	skin	skin	NOUN
cana-3962	308	13	images	image	NOUN
cana-3962	308	14	with	with	ADP
cana-3962	308	15	a	a	DET
cana-3962	308	16	hybrid	hybrid	ADJ
cana-3962	308	17	deep	deep	ADJ
cana-3962	308	18	learning	learning	NOUN
cana-3962	308	19	model	model	NOUN
cana-3962	308	20	.	.	PUNCT
cana-3962	309	1	diagnostics	diagnostic	NOUN
cana-3962	309	2	.	.	PUNCT
cana-3962	310	1	2023	2023	NUM
cana-3962	310	2	;	;	PUNCT
cana-3962	310	3	13(10):1772	13(10):1772	X
cana-3962	310	4	.	.	PUNCT
cana-3962	310	5	https://doi.org/10.3390/diagnostics13101772	https://doi.org/10.3390/diagnostics13101772	NOUN
cana-3962	310	6	.	.	PUNCT
cana-3962	311	1	[	[	X
cana-3962	311	2	13	13	NUM
cana-3962	311	3	]	]	X
cana-3962	311	4	yolcu	yolcu	ADJ
cana-3962	311	5	oztel	oztel	PROPN
cana-3962	311	6	,	,	PUNCT
cana-3962	311	7	g.	g.	PROPN
cana-3962	311	8	vision	vision	PROPN
cana-3962	311	9	transformer	transformer	PROPN
cana-3962	311	10	and	and	CCONJ
cana-3962	311	11	cnn	cnn	PROPN
cana-3962	311	12	-	-	PUNCT
cana-3962	311	13	based	base	VERB
cana-3962	311	14	skin	skin	NOUN
cana-3962	311	15	lesion	lesion	NOUN
cana-3962	311	16	analysis	analysis	NOUN
cana-3962	311	17	:	:	PUNCT
cana-3962	311	18	classification	classification	NOUN
cana-3962	311	19	of	of	ADP
cana-3962	311	20	monkeypox	monkeypox	PROPN
cana-3962	311	21	.	.	PUNCT
cana-3962	312	1	multimed	multime	VERB
cana-3962	312	2	tools	tool	NOUN
cana-3962	312	3	appl	appl	NOUN
cana-3962	312	4	83	83	NUM
cana-3962	312	5	,	,	PUNCT
cana-3962	312	6	71909–71923	71909–71923	NUM
cana-3962	312	7	(	(	PUNCT
cana-3962	312	8	2024	2024	NUM
cana-3962	312	9	)	)	PUNCT
cana-3962	312	10	.	.	PUNCT
cana-3962	313	1	https://doi.org/10.1007/s11042-024-19757-w	https://doi.org/10.1007/s11042-024-19757-w	PROPN
cana-3962	313	2	.	.	PUNCT
cana-3962	314	1	[	[	X
cana-3962	314	2	14	14	NUM
cana-3962	314	3	]	]	X
cana-3962	314	4	muñoz	muñoz	PROPN
cana-3962	314	5	-	-	PUNCT
cana-3962	314	6	saavedra	saavedra	PROPN
cana-3962	314	7	,	,	PUNCT
cana-3962	314	8	l.	l.	PROPN
cana-3962	314	9	;	;	PUNCT
cana-3962	314	10	escobar	escobar	PROPN
cana-3962	314	11	-	-	PUNCT
cana-3962	314	12	linero	linero	NOUN
cana-3962	314	13	,	,	PUNCT
cana-3962	314	14	e.	e.	PROPN
cana-3962	314	15	;	;	PUNCT
cana-3962	314	16	civit	civit	ADJ
cana-3962	314	17	-	-	PUNCT
cana-3962	314	18	masot	masot	ADJ
cana-3962	314	19	,	,	PUNCT
cana-3962	314	20	j.	j.	PROPN
cana-3962	314	21	;	;	PUNCT
cana-3962	314	22	luna	luna	PROPN
cana-3962	314	23	-	-	PUNCT
cana-3962	314	24	perejón	perejón	PROPN
cana-3962	314	25	,	,	PUNCT
cana-3962	314	26	f.	f.	PROPN
cana-3962	314	27	;	;	PUNCT
cana-3962	314	28	civit	civit	PROPN
cana-3962	314	29	,	,	PUNCT
cana-3962	314	30	a.	a.	NOUN
cana-3962	314	31	;	;	PUNCT
cana-3962	314	32	domínguez	domínguez	NOUN
cana-3962	314	33	-	-	PUNCT
cana-3962	314	34	morales	morale	NOUN
cana-3962	314	35	,	,	PUNCT
cana-3962	314	36	m.	m.	NOUN
cana-3962	314	37	a	a	DET
cana-3962	314	38	robust	robust	ADJ
cana-3962	314	39	fusion	fusion	NOUN
cana-3962	314	40	of	of	ADP
cana-3962	314	41	convolutional	convolutional	ADJ
cana-3962	314	42	neural	neural	ADJ
cana-3962	314	43	networks	network	NOUN
cana-3962	314	44	for	for	ADP
cana-3962	314	45	the	the	DET
cana-3962	314	46	detection	detection	NOUN
cana-3962	314	47	of	of	ADP
cana-3962	314	48	monkeypox	monkeypox	NOUN
cana-3962	314	49	disease	disease	NOUN
cana-3962	314	50	from	from	ADP
cana-3962	314	51	skin	skin	NOUN
cana-3962	314	52	images	image	NOUN
cana-3962	314	53	.	.	PUNCT
cana-3962	315	1	sensors	sensor	NOUN
cana-3962	315	2	2023	2023	NUM
cana-3962	315	3	,	,	PUNCT
cana-3962	315	4	23	23	NUM
cana-3962	315	5	,	,	PUNCT
cana-3962	315	6	7134	7134	NUM
cana-3962	315	7	.	.	PUNCT
cana-3962	316	1	https://doi.org/10.3390/s23167134	https://doi.org/10.3390/s23167134	PRON
cana-3962	317	1	[	[	X
cana-3962	317	2	15	15	NUM
cana-3962	317	3	]	]	X
cana-3962	317	4	monkeypox	monkeypox	NOUN
cana-3962	317	5	skin	skin	NOUN
cana-3962	317	6	images	image	NOUN
cana-3962	317	7	dataset	dataset	NOUN
cana-3962	317	8	(	(	PUNCT
cana-3962	317	9	msid	msid	ADJ
cana-3962	317	10	)	)	PUNCT
cana-3962	317	11	.	.	PUNCT
cana-3962	318	1	available	available	ADJ
cana-3962	318	2	online	online	ADV
cana-3962	318	3	:	:	PUNCT
cana-3962	319	1	https://www.kaggle.com/datasets/dipuiucse/monkeypoxskinimagedataset	https://www.kaggle.com/datasets/dipuiucse/monkeypoxskinimagedataset	VERB
cana-3962	319	2	(	(	PUNCT
cana-3962	319	3	accessed	access	VERB
cana-3962	319	4	on	on	ADP
cana-3962	319	5	2	2	NUM
cana-3962	319	6	october	october	NOUN
cana-3962	319	7	2022	2022	NUM
cana-3962	319	8	.	.	PUNCT
cana-3962	320	1	[	[	X
cana-3962	320	2	16	16	NUM
cana-3962	320	3	]	]	PUNCT
cana-3962	320	4	kaggle	kaggle	PROPN
cana-3962	320	5	.	.	PUNCT
cana-3962	321	1	monkeypox	monkeypox	PROPN
cana-3962	321	2	skin	skin	NOUN
cana-3962	321	3	lesion	lesion	NOUN
cana-3962	321	4	dataset	dataset	NOUN
cana-3962	321	5	.	.	PUNCT
cana-3962	322	1	available	available	ADJ
cana-3962	322	2	:	:	PUNCT
cana-3962	322	3	https://www.kaggle.com/datasets/nafin59/monkeypox-skinlesion-dataset	https://www.kaggle.com/datasets/nafin59/monkeypox-skinlesion-dataset	ADJ
cana-3962	322	4	;	;	PUNCT
cana-3962	322	5	2022	2022	NUM
cana-3962	322	6	.	.	PUNCT
cana-3962	323	1	[	[	X
cana-3962	323	2	17	17	NUM
cana-3962	323	3	]	]	X
cana-3962	323	4	sokolova	sokolova	NOUN
cana-3962	323	5	,	,	PUNCT
cana-3962	323	6	m.	m.	NOUN
cana-3962	323	7	;	;	PUNCT
cana-3962	323	8	lapalme	lapalme	NOUN
cana-3962	323	9	,	,	PUNCT
cana-3962	323	10	g.	g.	PROPN
cana-3962	323	11	a	a	DET
cana-3962	323	12	systematic	systematic	ADJ
cana-3962	323	13	analysis	analysis	NOUN
cana-3962	323	14	of	of	ADP
cana-3962	323	15	performance	performance	NOUN
cana-3962	323	16	measures	measure	NOUN
cana-3962	323	17	for	for	ADP
cana-3962	323	18	classification	classification	NOUN
cana-3962	323	19	tasks	task	NOUN
cana-3962	323	20	.	.	PUNCT
cana-3962	324	1	inf	inf	PROPN
cana-3962	324	2	.	.	PROPN
cana-3962	324	3	process	process	NOUN
cana-3962	324	4	.	.	PUNCT
cana-3962	325	1	manag	manag	PROPN
cana-3962	325	2	.	.	PUNCT
cana-3962	326	1	2009	2009	NUM
cana-3962	326	2	,	,	PUNCT
cana-3962	326	3	45	45	NUM
cana-3962	326	4	,	,	PUNCT
cana-3962	326	5	427–437	427–437	NUM
cana-3962	326	6	.	.	PUNCT
cana-3962	327	1	[	[	X
cana-3962	327	2	18	18	NUM
cana-3962	327	3	]	]	X
cana-3962	327	4	sorayaie	sorayaie	PROPN
cana-3962	327	5	azar	azar	PROPN
cana-3962	327	6	et	et	PROPN
cana-3962	327	7	al	al	PROPN
cana-3962	327	8	.	.	PROPN
cana-3962	328	1	bmc	bmc	PROPN
cana-3962	328	2	infectious	infectious	ADJ
cana-3962	328	3	diseases	disease	NOUN
cana-3962	328	4	(	(	PUNCT
cana-3962	328	5	2023	2023	NUM
cana-3962	328	6	)	)	PUNCT
cana-3962	328	7	23:438	23:438	NUM
cana-3962	328	8	https://doi.org/10.1186/s12879-023-084084	https://doi.org/10.1186/s12879-023-084084	NOUN
cana-3962	328	9	.	.	PUNCT
cana-3962	329	1	[	[	X
cana-3962	329	2	19	19	NUM
cana-3962	329	3	]	]	PUNCT
cana-3962	329	4	https://www.ncbi.nlm.nih.gov/	https://www.ncbi.nlm.nih.gov/	ADV
cana-3962	329	5	,	,	PUNCT
cana-3962	329	6	national	national	ADJ
cana-3962	329	7	center	center	NOUN
cana-3962	329	8	for	for	ADP
cana-3962	329	9	biotechnology	biotechnology	NOUN
cana-3962	329	10	information	information	NOUN
cana-3962	329	11	.	.	PUNCT
cana-3962	330	1	[	[	X
cana-3962	330	2	20	20	NUM
cana-3962	330	3	]	]	X
cana-3962	330	4	haripriya	haripriya	PROPN
cana-3962	330	5	,	,	PUNCT
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cana-3962	331	9	classification	classification	NOUN
cana-3962	331	10	of	of	ADP
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cana-3962	331	12	virus	virus	NOUN
cana-3962	331	13	images	image	NOUN
cana-3962	331	14	.	.	PUNCT
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cana-3962	332	21	)	)	PUNCT
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cana-3962	332	34	2023	2023	NUM
cana-3962	332	35	.	.	PUNCT
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cana-3962	332	38	,	,	PUNCT
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cana-3962	332	40	and	and	CCONJ
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cana-3962	332	42	,	,	PUNCT
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cana-3962	332	44	364	364	NUM
cana-3962	332	45	.	.	PUNCT
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cana-3962	332	48	singapore	singapore	PROPN
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cana-3962	333	1	[	[	X
cana-3962	333	2	21	21	NUM
cana-3962	333	3	]	]	X
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cana-3962	333	5	,	,	PUNCT
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cana-3962	333	7	.	.	PROPN
cana-3962	333	8	;	;	PUNCT
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cana-3962	333	19	;	;	PUNCT
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cana-3962	333	22	s.	s.	PROPN
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cana-3962	333	28	;	;	PUNCT
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cana-3962	333	33	;	;	PUNCT
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cana-3962	333	36	a.	a.	NOUN
cana-3962	333	37	;	;	PUNCT
cana-3962	333	38	eid	eid	PROPN
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cana-3962	333	40	https://doi.org/10.1186/s12879-022-07900https://doi.org/10.3390/diagnostics13101772	https://doi.org/10.1186/s12879-022-07900https://doi.org/10.3390/diagnostics13101772	X
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cana-3962	337	2	(	(	PUNCT
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cana-3962	337	5	541	541	NUM
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cana-3962	345	9	:	:	PUNCT
cana-3962	345	10	how	how	SCONJ
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cana-3962	345	12	could	could	AUX
cana-3962	345	13	spread	spread	VERB
cana-3962	345	14	back	back	ADV
cana-3962	345	15	to	to	ADP
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cana-3962	345	17	from	from	ADP
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cana-3962	346	10	xinyu	xinyu	PROPN
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cana-3962	346	14	huiling	huile	VERB
cana-3962	346	15	&	&	CCONJ
cana-3962	346	16	zheng	zheng	PROPN
cana-3962	346	17	,	,	PUNCT
cana-3962	346	18	xiaomin	xiaomin	PROPN
cana-3962	346	19	&	&	CCONJ
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cana-3962	352	5	,	,	PUNCT
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cana-3962	352	7	&	&	CCONJ
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cana-3962	352	15	&	&	CCONJ
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cana-3962	354	12	a	a	DET
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cana-3962	356	4	.	.	PUNCT
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